tag:blogger.com,1999:blog-90359880714941711902026-03-02T07:06:09.109-08:00Вязание - моя страсть и мой мирБлог о вязании одного из обычных его почитателей и страстных любителей.desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.comBlogger208125tag:blogger.com,1999:blog-9035988071494171190.post-46687108741725728712022-04-17T03:26:00.004-07:002022-04-17T03:33:44.131-07:00Об ажурных воротничках<p>Приветствую всех!</p><p>С тех пор, как Лена Родина связала в подарок для Аниной дочки к Новому году прекрасный воротничок и в эфире произнесла идею, что такой воротничок можно связать методом схождения ажуров, эта мысль меня не покидает. </p><p>Мне кажется очень интересным новое применение этого способа работы с ажурами. </p><p>Обычно кружевные воротнички вяжутся крючком, тонкой ниткой, и, конечно, очень красивые. Для любителей спиц обычно ажурные воротнички составляются из повторения узоров, равномерно убавляемых по всей длине. Например, таких:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhNHwS3gMrPsFcbS9L-gkja3hOeOXYHBn3ZRKAspsJQzVvEraeG875bZiWPtCGS3UC-zsTe2XNhueFqweRPA2DIRQd5xgKBCGkLJ_4507M5_rfkjC_A1KGrmUVhpS8gU5Jixcs0xZ1_QjPMrCr2XL8HjskFjhWAOlBCYASzv2WqhktoGWpSEez1NC9K/s584/13d7964ed4a4c2ab6f864bb461b92290.jpeg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="584" data-original-width="564" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhNHwS3gMrPsFcbS9L-gkja3hOeOXYHBn3ZRKAspsJQzVvEraeG875bZiWPtCGS3UC-zsTe2XNhueFqweRPA2DIRQd5xgKBCGkLJ_4507M5_rfkjC_A1KGrmUVhpS8gU5Jixcs0xZ1_QjPMrCr2XL8HjskFjhWAOlBCYASzv2WqhktoGWpSEez1NC9K/w386-h400/13d7964ed4a4c2ab6f864bb461b92290.jpeg" width="386" /></a></div><div><br /></div>Здесь равномерно во всех раппортах одинаковым образом убавляются петли, рисунок один и тот же.<div><br /></div><div>Есть варианты, когда сами ажурные рисунки меняются внутри раппорта — на определенной высоте переходят к ажуру, строящемуся на другом количестве петель (это составление вертикальной композиции — целое искусство, порождающее множество красивых воротников):</div><div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiBKbe7SrU2L0n6IGqVBxzURTlzGtAPdqisG41uvhC-TfK7TttUHpshdfctzsvrb8ArhffDWYLwVc17WCse4B7-uXZDYZDYRXDjADU1lE01bYnmxYY6cdLT031CfBYpgd5c9Ep6li7O9m6hWSUZufRZSv-6l3hSellscdbP7ZJrzwxJtjGWFKJmCZXP/s1106/%D0%A1%D0%BD%D0%B8%D0%BC%D0%BE%D0%BA%20%D1%8D%D0%BA%D1%80%D0%B0%D0%BD%D0%B0%202022-04-17%20%D0%B2%2013.11.27.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1050" data-original-width="1106" height="380" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiBKbe7SrU2L0n6IGqVBxzURTlzGtAPdqisG41uvhC-TfK7TttUHpshdfctzsvrb8ArhffDWYLwVc17WCse4B7-uXZDYZDYRXDjADU1lE01bYnmxYY6cdLT031CfBYpgd5c9Ep6li7O9m6hWSUZufRZSv-6l3hSellscdbP7ZJrzwxJtjGWFKJmCZXP/w400-h380/%D0%A1%D0%BD%D0%B8%D0%BC%D0%BE%D0%BA%20%D1%8D%D0%BA%D1%80%D0%B0%D0%BD%D0%B0%202022-04-17%20%D0%B2%2013.11.27.png" width="400" /></a></div><br /><p>Встретила еще идею вязания "поворотов" на плечо:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjMTR7HPKIgAAepR3LpGNzllr_YICb7_xGyuvLBLuSihEz4fczIivqaVf10bsktu8AX6iWeOIZHcXr-mJH3NPy1S70Ua8Sm-cUPHG33K18kRni1Qu5tch9gccUubI-PzlFARzJxz0sdhY7M-Wv0lMVYrFx2DZ_bq7FQFlAtlJ_RP2k72sXs08vs0-IM/s600/27a2a0949485a497df87b4c793ff1e1e.jpeg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="600" data-original-width="400" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjMTR7HPKIgAAepR3LpGNzllr_YICb7_xGyuvLBLuSihEz4fczIivqaVf10bsktu8AX6iWeOIZHcXr-mJH3NPy1S70Ua8Sm-cUPHG33K18kRni1Qu5tch9gccUubI-PzlFARzJxz0sdhY7M-Wv0lMVYrFx2DZ_bq7FQFlAtlJ_RP2k72sXs08vs0-IM/w426-h640/27a2a0949485a497df87b4c793ff1e1e.jpeg" width="426" /></a></div>Здесь два раппорта идет прямо, потом начинается поворот на плечо, треугольная вставка. Таких вариантов встретила множество в разных цветах, подиум MSGM at Milan Fashion Week 2020 и черные и красные, все так связаны (посмотрите например <a href="https://www.livingly.com/runway/Milan+Fashion+Week+Spring+2020/Msgm/Details/HpeDCpUUX1k">здесь</a>). И это интересный ход!<br /><p>Вот еще встретила такой принцип в японском журнале:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhlfPdDzjqLQqjHaOjVaeAt1XVOzHCNC7MEj2BE13GhGW1qcOWy_S_95A4ptYoi3E7ByjxkzILySVcCi3xWbOV4_2Io5qQUzMY9JKrIoACnSotJX310icxlZUGskzZK4O4o32MbnrCfdLKYe0ZKtI7Io_3ZATHj8VeWB_9lXiUhR75NYAI0rgfFOjN0/s699/951c89eeb7ee63dc19382a2535bc416a.jpeg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="699" data-original-width="481" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhlfPdDzjqLQqjHaOjVaeAt1XVOzHCNC7MEj2BE13GhGW1qcOWy_S_95A4ptYoi3E7ByjxkzILySVcCi3xWbOV4_2Io5qQUzMY9JKrIoACnSotJX310icxlZUGskzZK4O4o32MbnrCfdLKYe0ZKtI7Io_3ZATHj8VeWB_9lXiUhR75NYAI0rgfFOjN0/w440-h640/951c89eeb7ee63dc19382a2535bc416a.jpeg" width="440" /></a></div>Тоже треугольные вставки для поворотов воротника.<p>Идея Лены Родиной состояла в том, чтобы не равномерно убавлять петли, а выборочно, в каких-то раппортах убавлять, а в каких-то нет, вот ее воротничок:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhIN8hO68eNes4K9ge8stIiGV2eRUN6UVthgnQKV-8CvUMkBbDPRPdH-VShWG5A9IasD6imOlkCdy30ZkS2eEyMRi63fcMg9qOY0Bt93UrdpGTack40hSf5PoFjSpEJ5SSDkO-RjBp_X2Jv1E_UIwSTVxEdZG_h5BCLNrvk4WJp_LkRkK_9HspLvzYT/s1169/%D0%B2%D0%BE%D1%80%D0%BE%D1%82%D0%BD%D0%B8%D0%BA.jpeg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1169" data-original-width="1169" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhIN8hO68eNes4K9ge8stIiGV2eRUN6UVthgnQKV-8CvUMkBbDPRPdH-VShWG5A9IasD6imOlkCdy30ZkS2eEyMRi63fcMg9qOY0Bt93UrdpGTack40hSf5PoFjSpEJ5SSDkO-RjBp_X2Jv1E_UIwSTVxEdZG_h5BCLNrvk4WJp_LkRkK_9HspLvzYT/s320/%D0%B2%D0%BE%D1%80%D0%BE%D1%82%D0%BD%D0%B8%D0%BA.jpeg" width="320" /></a></div><br /><p>Метод схождения ажура заключается в постепенном полном убавлении избранных раппортов ажура. Например, таком:</p><p> </p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj5n_jFtMeCT0mES4239lbjn0dV_xY7vxD5Lu-aXF_BkCSqA6grp9Kv7iiJ3ZdPgpZgJxxx4_ylp7fECa-nztiQ1epva6jc4bOa2fzSBUVgt9nTVn-fMaOXwMdO4bT7GUXBLIG_QqNuXMsLEHbMNeJ9cMJLoV2wuEOlgz3G5kW5TKtxJuRouA2OzV1R/s3283/%D0%92%D0%BE%D1%80%D0%BE%D1%82%D0%BD%D0%B8%D0%BA%20%D0%B1%D0%B5%D0%B7%20%D1%81%D1%85%D0%B5%D0%BC%D1%8B.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="3062" data-original-width="3283" height="373" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj5n_jFtMeCT0mES4239lbjn0dV_xY7vxD5Lu-aXF_BkCSqA6grp9Kv7iiJ3ZdPgpZgJxxx4_ylp7fECa-nztiQ1epva6jc4bOa2fzSBUVgt9nTVn-fMaOXwMdO4bT7GUXBLIG_QqNuXMsLEHbMNeJ9cMJLoV2wuEOlgz3G5kW5TKtxJuRouA2OzV1R/w400-h373/%D0%92%D0%BE%D1%80%D0%BE%D1%82%D0%BD%D0%B8%D0%BA%20%D0%B1%D0%B5%D0%B7%20%D1%81%D1%85%D0%B5%D0%BC%D1%8B.jpg" width="400" /></a></div>Мы связали уже целую коллекцию и разработали схождение для нескольких узоров, которыми в скором времени можно будет воспользоваться. Готовим новую книжку <i>Схождение ажуров на примере воротников</i>.<p></p><p>Надеюсь, в новых условиях подорожания бумаги и всех типографских услуг мы все-таки ее издадим, так как основная подготовка материалов уже проведена. </p><p>А вы носите ажурные воротнички? А носили бы? :) Посмотрите только, как это красиво! Спасибо Инне и Ане за это фото! </p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh6yVvhFz0fT4OgLwXvZiyJFtnSyyUB-w0qyOqko30tSmiC3n1E_-WKFCGDeSTPz2SESBa6BTZ43rA6SVGg2GHXWPMsNTm4SCuXSzoF9aHF0Jhm6O3U9DKugYm9BJ7-jkATEQhuRlM-VnRme5hEvjPkurfatQjAn_cnpVAmAuYo0v2Dm1v1T8c09AfK/s1600/cowl-silk1.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1066" data-original-width="1600" height="426" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh6yVvhFz0fT4OgLwXvZiyJFtnSyyUB-w0qyOqko30tSmiC3n1E_-WKFCGDeSTPz2SESBa6BTZ43rA6SVGg2GHXWPMsNTm4SCuXSzoF9aHF0Jhm6O3U9DKugYm9BJ7-jkATEQhuRlM-VnRme5hEvjPkurfatQjAn_cnpVAmAuYo0v2Dm1v1T8c09AfK/w640-h426/cowl-silk1.jpg" width="640" /></a></div>Инструкцию и материалы можно приобрести <a href="https://www.triskeli.ru/product/opisanie-shelkovogo-vorotnichka-s-kruzhevom-kelym-dizayn-studiya-triskele">здесь</a>.<br /><p><br /></p></div>desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com0tag:blogger.com,1999:blog-9035988071494171190.post-52956899624670559972022-03-26T07:47:00.001-07:002022-03-26T07:47:24.633-07:00Есть идея - нет икеи :)<p>Друзья, вот я и здесь снова!</p><p>Инстаграм отключился, иногда надо собираться с мыслями, и я вспомнила, что у меня есть мой дневничок, старый добрый, и буду я в нем продолжать писать.</p><p>Хочу вот эту модель записать, многие спрашивали, значит надо сделать.</p><p>Для великолепных <a href="https://www.triskeli.ru/product/nabor-dlya-vyazaniya-kardigana-dreams-avtor-lena-rodina-v-korobke" target="_blank">наборов Dreams</a> из 70% мохера от Лены Родиной предлагался к вязанию кардиган, но когда такой набор появился у меня, я всё взвесила)) и решила, что кардиганы носить я не умею. Сделаю что-то слитное по переду.</p><p>Стала искать что-то особо красивое, главным достоинством которого была бы крутая пряжа. И нашла. У Кучинелли, конечно же :) </p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5Mj5fT3B1ZsKmutYJp_Gd3lnDetwt6LGcib85WV5A7k-DeBQoWKrKKEUX5O6bTRXDZh0yxPrQEP1kDAZaWwr-Pk6IW_1A7RBvzs0jFwW5n8WAukcti9swkmk9hR14BNfhcHuSnw6mr4ScNAj6I9FyEerTu5vzFbyywz2vjR1uJtVIzoXPevyNcC2s/s718/84e112992ad34e15c9b8d0c27fd2fdad.jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="718" data-original-width="564" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5Mj5fT3B1ZsKmutYJp_Gd3lnDetwt6LGcib85WV5A7k-DeBQoWKrKKEUX5O6bTRXDZh0yxPrQEP1kDAZaWwr-Pk6IW_1A7RBvzs0jFwW5n8WAukcti9swkmk9hR14BNfhcHuSnw6mr4ScNAj6I9FyEerTu5vzFbyywz2vjR1uJtVIzoXPevyNcC2s/w314-h400/84e112992ad34e15c9b8d0c27fd2fdad.jpeg" width="314" /></a></div><br /><p>Как раз в это время Марина Шестакова связала красивый жилет таким узором, и отправила мне картинки, как его вязать:</p><p style="text-align: center;">3 ряда лиц.глади</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEirxB4s_TqUdnjyVy3pduqDyt3sIffpPlNV_vyG4-tJqTi4MeoEDuD_Z4XIoqsN_19DuiYyQ4W2dSq1N_wgcCnmp1FLEwltFnr6Ckn1iC49sb_iJYe-w4-Z466ZRGN1yZT9JRHpa9zwg-AapE3ghqTPfEM_xtU8HEtfGmMNcrH_-gQNo6mKjV9RF6W9/s750/1u-2.jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="706" data-original-width="750" height="301" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEirxB4s_TqUdnjyVy3pduqDyt3sIffpPlNV_vyG4-tJqTi4MeoEDuD_Z4XIoqsN_19DuiYyQ4W2dSq1N_wgcCnmp1FLEwltFnr6Ckn1iC49sb_iJYe-w4-Z466ZRGN1yZT9JRHpa9zwg-AapE3ghqTPfEM_xtU8HEtfGmMNcrH_-gQNo6mKjV9RF6W9/s320/1u-2.jpeg" width="320" /></a></div><div class="separator" style="clear: both; text-align: center;">В 4-м изнаночном ряду выполнять двойные накиды </div><div class="separator" style="clear: both; text-align: center;"><br /></div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6HS5bTPaOLS5lgNKp6mwTrhaJ9n2kgfmAbCCIY8tnlBU1cnL9T-hlAhSCVnQUSUxqO4ESLJXmfUMTT7T46WBYE5ikFf-Sxth8hMwNjzgf3-IGYCce_gcYnMaWqVZHORd4XMSDjE27Yne-jpH-mAVAtb9g-SnYUNuQJ4VfxMPrxVPyQNphLWLUgPxk/s750/qu-3.jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="680" data-original-width="750" height="290" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6HS5bTPaOLS5lgNKp6mwTrhaJ9n2kgfmAbCCIY8tnlBU1cnL9T-hlAhSCVnQUSUxqO4ESLJXmfUMTT7T46WBYE5ikFf-Sxth8hMwNjzgf3-IGYCce_gcYnMaWqVZHORd4XMSDjE27Yne-jpH-mAVAtb9g-SnYUNuQJ4VfxMPrxVPyQNphLWLUgPxk/s320/qu-3.jpeg" width="320" /></a></div><div class="separator" style="clear: both; text-align: center;">В следующем первом ряду нового раппорта накиды сбросить.</div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: left;">И пошла работа! В моей пряже в таком полотне получилась плотность 1 петля 1 сантиметр. На ширину 60 см — 60 п.</div><div class="separator" style="clear: both; text-align: left;">Выкройку я сделала абсолютно квадратную — хотя потом догадалась, что можно было в этих трех рядах глади скрывать укороченные ряды и вывязать плечо.</div><div class="separator" style="clear: both; text-align: left;">Вырез горловины формировать оказалось очень легко, проводить все манипуляции с убавками (горловины) и прибавками (расширение рукава) в глади, а на снятых петлях вязать прямо.</div>Рукава вывязывала с окатом, но после ВТО они оказались слишком длинными, поэтому пришлось распустить, и все окаты тоже, чтобы не портить нитку распусканиями, перевязывать не стала.<div>Расход получился 3 мотка из набора, 4-й моток остается в ожидании своей идеи!</div><div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh_vpTNjfdXK0NLx4rEdxw0rfl3n2KGxoPV5H_NuakyFu6SHN8CIPY2wlMqJXktJIDxwxAlW9KFRFJFHqon5UKOlGYMRT8OugzAuvs_oyIKvqTxJjruhbstb-6wy2gjOu9u8rSj06bUaveGAOHNyaWLBaBFcJ6YGp-16qc1kWQYj0ZtnShcxtdJq5Gw/s4608/IMG_20220202_212210.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="3456" data-original-width="4608" height="480" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh_vpTNjfdXK0NLx4rEdxw0rfl3n2KGxoPV5H_NuakyFu6SHN8CIPY2wlMqJXktJIDxwxAlW9KFRFJFHqon5UKOlGYMRT8OugzAuvs_oyIKvqTxJjruhbstb-6wy2gjOu9u8rSj06bUaveGAOHNyaWLBaBFcJ6YGp-16qc1kWQYj0ZtnShcxtdJq5Gw/w640-h480/IMG_20220202_212210.jpg" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEilYI310_POnrbKLB6NDcizcCYBqtbjexGk9dOClU9bMfFD9wZwEabChbzp3IKIKWRaWUeBbE9RnGc9l4gGZ75RNoD8qqr-n7rxmM53HuRNFjAf706kv5YtSJt7aolUSubHiAg94cwlA0HPZY74Zq34T0FHF2FvzCi_fRteXZvv1SN6SgW3zSL91ZIQ/s4608/IMG_20220202_212759.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="4608" data-original-width="3456" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEilYI310_POnrbKLB6NDcizcCYBqtbjexGk9dOClU9bMfFD9wZwEabChbzp3IKIKWRaWUeBbE9RnGc9l4gGZ75RNoD8qqr-n7rxmM53HuRNFjAf706kv5YtSJt7aolUSubHiAg94cwlA0HPZY74Zq34T0FHF2FvzCi_fRteXZvv1SN6SgW3zSL91ZIQ/w300-h400/IMG_20220202_212759.jpg" width="300" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEglCii3oecC33hQmO632_Rhi9QsBusY1m19xcYmVDiokF2W6ZkcRDQ6hG-J3oh4k8hO_12vAcZJAE2boi18JWTVwTlR66cFGJAxQ80kmw8yh5AGRX_ntt_XzNLp9x1oyAUvNVixAJbSpxkXDFaqi_AoKZawkCLdA8H9ZIVqhvls8yA_M8J61RDjh5YN/s4608/IMG_20220202_212353.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="4608" data-original-width="3456" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEglCii3oecC33hQmO632_Rhi9QsBusY1m19xcYmVDiokF2W6ZkcRDQ6hG-J3oh4k8hO_12vAcZJAE2boi18JWTVwTlR66cFGJAxQ80kmw8yh5AGRX_ntt_XzNLp9x1oyAUvNVixAJbSpxkXDFaqi_AoKZawkCLdA8H9ZIVqhvls8yA_M8J61RDjh5YN/w300-h400/IMG_20220202_212353.jpg" width="300" /></a></div></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: left;">Итак, квадратиш практиш гут!</div><div class="separator" style="clear: both; text-align: left;">Он легкий, комфортный, красивый. Там, где бусинки — немного зацепляется. В целом очень эффектный! Спасибо Лене Родиной за чудесные наборы и вдохновение!</div>Всем рекомендую!</div>desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com1tag:blogger.com,1999:blog-9035988071494171190.post-1596318009388773422021-07-25T13:19:00.008-07:002021-07-25T22:07:35.970-07:00Процентная система Элизабет Циммерман - история одной картинки<p> Всем привет! </p><div style="text-align: left;">В последнее время занимаюсь исследованием круглой кокетки, а именно с точки зрения EPS (<span face="Inter, -apple-system, system-ui, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"" style="background-color: white; font-size: 1.42857rem;">Elizabeth's Percentage System</span>) — что нам о ней известно?</div><div style="text-align: left;">В первую очередь известно то, как соотносятся обхват корпуса, обхват рукава по широкой части, контур горловины, манжеты и низ изделия:</div><div class="separator" style="clear: both; text-align: center;"><a href="https://tutorials.knitpicks.com/wp-content/uploads/2009/12/Percentage-System-Tutorial-Schematic_1.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="410" data-original-width="425" src="https://tutorials.knitpicks.com/wp-content/uploads/2009/12/Percentage-System-Tutorial-Schematic_1.png" /></a></div><div class="separator" style="clear: both; text-align: left;">или вот такая картинка, здесь уже другие проценты для рукава:</div><div class="separator" style="clear: both; text-align: center;"><a href="https://avatars.mds.yandex.net/get-zen_doc/1885679/pub_5e27eadb92414d00b15434a5_5e27eee99515ee00aea79ad4/scale_1200" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="518" data-original-width="579" height="358" src="https://avatars.mds.yandex.net/get-zen_doc/1885679/pub_5e27eadb92414d00b15434a5_5e27eee99515ee00aea79ad4/scale_1200" width="400" /></a></div><div class="separator" style="clear: both; text-align: left;">самые распространенные в сети.</div><div class="separator" style="clear: both; text-align: left;">Если посчитать по этим обхватам, по линии отделения рукавов общий обхват кокетки составляет K(100%)+2B-4C=100+2*35-4*8=138% от K. Горловина составляет 40-45% от K.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Самый интерес представляет то, как именно выполнить убавления на кокетке. Какой она должна быть высоты и в каком месте выполнять убавления?</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Если предположить кокетку строго конической, можно рассчитать ее клешение, используя процентные соотношения обхвата горловины, высоты кокетки и обхвата конуса по нижнему краю.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgS-iX9b_6UBIUg9UKIaN2yyRt79bDnJOV8xSu1wj4UcTDO3eYkL1iIDLt-YzlDaygqqNeQ7Ce_wB51gkssn50ayiA1SrYVecBnzikmKwW0M8LzwP_86m2TQXL7OgCOxR70TIapEwY8zu8/s718/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+22.47.24.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="372" data-original-width="718" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgS-iX9b_6UBIUg9UKIaN2yyRt79bDnJOV8xSu1wj4UcTDO3eYkL1iIDLt-YzlDaygqqNeQ7Ce_wB51gkssn50ayiA1SrYVecBnzikmKwW0M8LzwP_86m2TQXL7OgCOxR70TIapEwY8zu8/s320/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+22.47.24.png" width="320" /></a></div><br /><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Это клешение составляет 0.6 круга (писала об этом <a href="https://www.instagram.com/p/BQhdAo6jj16/">тут</a>). И если связать кокетку, выполняя равномерные убавления в клиньях, либо считая ярусы убавлений <a href="https://www.triskeli.ru/lace-book-calc.html">по формулам</a> из книги "<a href="https://www.triskeli.ru/product/kniga-shozhdenie-azhurov-lena-rodina">Схождение ажуров</a>", вполне хорошие кокетки получаются, я проверяла :)</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh84V3qqNkXJ3pG9s0FmFsWP0mb4XJP199Ijf1bD9i3-JrCfTr4e95gpqOrpOgBjCXTGaD3GPsM_UypF6OBD0ZD9inYeT8wBR7ht3PqzlSR2kRlFldxWu4SDjkV2r9opraKf5412AzNGu8/s1080/30078362_223509841538107_8706546999945592832_n.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1079" data-original-width="1080" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh84V3qqNkXJ3pG9s0FmFsWP0mb4XJP199Ijf1bD9i3-JrCfTr4e95gpqOrpOgBjCXTGaD3GPsM_UypF6OBD0ZD9inYeT8wBR7ht3PqzlSR2kRlFldxWu4SDjkV2r9opraKf5412AzNGu8/s320/30078362_223509841538107_8706546999945592832_n.jpg" width="320" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqTiP-AOGo0TpTqCV8sO1TygS43OKAuex_ED_bOMjg6-l47YP1zvXmVTPXqVseX4frCYLymZKGn5tknnVOc2HTiES8pNSen8TMpXGmK-1XrXQgeoeQjWxj0SFIWFoyJmTLf8KrdbjXTgc/s1080/37089758_1376968879101753_7806621634831319040_n.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1080" data-original-width="1080" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqTiP-AOGo0TpTqCV8sO1TygS43OKAuex_ED_bOMjg6-l47YP1zvXmVTPXqVseX4frCYLymZKGn5tknnVOc2HTiES8pNSen8TMpXGmK-1XrXQgeoeQjWxj0SFIWFoyJmTLf8KrdbjXTgc/s320/37089758_1376968879101753_7806621634831319040_n.jpg" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhEqE9IHV_SgwqH3NzvTRicHO9RX6qmLi99mdpjc80Scden2WgpKXrQpa8xMfBINqWKvWWADAUvTisvOVQD-BK8Y_oa46EQl3f5YfZD2XnuSexoCQ5trw0FVfTkVzqQ0LKYWJ-GuPbWsLU/s1080/49791085_278897236120522_9093503348820130272_n.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1080" data-original-width="1080" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhEqE9IHV_SgwqH3NzvTRicHO9RX6qmLi99mdpjc80Scden2WgpKXrQpa8xMfBINqWKvWWADAUvTisvOVQD-BK8Y_oa46EQl3f5YfZD2XnuSexoCQ5trw0FVfTkVzqQ0LKYWJ-GuPbWsLU/s320/49791085_278897236120522_9093503348820130272_n.jpg" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhp0Oxa1q0yk41lpvEZsoFNCXjGB9H4cheXhDtePrxWd273n6s6I-tmsUVavV8AB_klGdahpYeG6tnNStsUMb5f6F7WvvaRNiBzC6ELGV0zskysoSOLhHlRXxG0D7TjO7YqBHMh7TC5NHQ/s800/61684248_175055986837716_8563433763584109396_n.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="800" data-original-width="640" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhp0Oxa1q0yk41lpvEZsoFNCXjGB9H4cheXhDtePrxWd273n6s6I-tmsUVavV8AB_klGdahpYeG6tnNStsUMb5f6F7WvvaRNiBzC6ELGV0zskysoSOLhHlRXxG0D7TjO7YqBHMh7TC5NHQ/s320/61684248_175055986837716_8563433763584109396_n.jpg" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: left;">Но, как оказалось, это хорошо работает для эластичных рисунков (резинка), для ажурной кокетки, но не для не-эластичных материалов. При вставке кружева в прямой конус начинаются проблемы с посадкой. Объема на плечи не хватает, если связать ровный конус. </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">И тут мне встретились такие рисунки по ярусам убавлений, где именно они располагаются и сколько процентов нужно убавлять! </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Очень расхожая картинка из книги "Вязание без слез" выглядит так:</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-vxv-8oZITZ4QR6e9yANwjyhr7Xg-76koA66OOlmnjwCLJmSMlyVG8kf448xhN0DNtbm6yJZew_bYVd8r1qBhc_9CRDnTpbZqTC2Ejiwoc46E5fTkP47noD1243-GbLUUbWsdfU2_A7s/s808/zimm.jpeg" style="margin-left: 1em; margin-right: 1em; text-align: center;"><img border="0" data-original-height="642" data-original-width="808" height="509" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-vxv-8oZITZ4QR6e9yANwjyhr7Xg-76koA66OOlmnjwCLJmSMlyVG8kf448xhN0DNtbm6yJZew_bYVd8r1qBhc_9CRDnTpbZqTC2Ejiwoc46E5fTkP47noD1243-GbLUUbWsdfU2_A7s/w640-h509/zimm.jpeg" width="640" /></a></div><div class="separator" style="clear: both; text-align: left;"><b>Первая трактовка картинки</b></div><div class="separator" style="clear: both; text-align: left;">Посмотрите: если Y=138% корпуса, то следующий ярус Y1 должен быть равен 138-25=113% от корпуса, Y2 равен 138-33=105% корпуса и Y3 равен 138-40=98 процентов корпуса. Но это только одна трактовка!</div><div class="separator" style="clear: both; text-align: left;">Давайте смоделируем такую кокетку в сантиметрах, возьмем K=102 см, </div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhm1QO0KhjScS262njAIYbU-tkJ8BfYRwkrOaf694_5FsdbWiQpqRVO5HN1q7m1l_qns9kPub14MCyn-_CjtgVs0vs5MVNL50HSPaBfq88Ll48MG8MU-ileEibt5rur70SWn-qdCULeEXI/s844/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+22.30.42.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="440" data-original-width="844" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhm1QO0KhjScS262njAIYbU-tkJ8BfYRwkrOaf694_5FsdbWiQpqRVO5HN1q7m1l_qns9kPub14MCyn-_CjtgVs0vs5MVNL50HSPaBfq88Ll48MG8MU-ileEibt5rur70SWn-qdCULeEXI/s320/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+22.30.42.png" width="320" /></a></div>тогда Y=138% это 1,38*102=140,76 см, Y1=Y-25%=113% это 1.13*102=115,26 см, Y2=Y-33%=105% это 1,05*102=107,1 см, Y3=Y-40%=98% это 0,98*102=99,96 см и горловина 45% это 0,45*102=45,9 см.</div><div class="separator" style="clear: both; text-align: left;">Итак, здесь проценты просто вычитаются и считаются относительно обхвата корпуса K. </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><b>Вторая трактовка картинки</b> такая: процент применяется к каждому ярусу отдельно. То есть если Y=1,38K, то Y1=Y-25% или Y1=0,75Y=0,75*1,38*102=105,57 см, Y2=0,67*Y=0,67*1,38*102=94,31 см, Y3=0,6*Y=0,6*1,38*102=84,436 см и горловина такая же 45,9 см. Моделируем ярусы в трапеции:</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGM3aJmiCdtcmmklTDczqGtmlrKxV7m3aB_UC2ELa7X2ia0ctq8n5DMPX-nuooSJqxUIOaMbPIQEUIQxpOAQHxcbKAG2zqrL0XQKZaBSx5xaFGZ7U3Ya4lpSlwyGB-9OI_SXlTKUUFbfk/s818/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+22.53.08.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="350" data-original-width="818" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGM3aJmiCdtcmmklTDczqGtmlrKxV7m3aB_UC2ELa7X2ia0ctq8n5DMPX-nuooSJqxUIOaMbPIQEUIQxpOAQHxcbKAG2zqrL0XQKZaBSx5xaFGZ7U3Ya4lpSlwyGB-9OI_SXlTKUUFbfk/s320/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+22.53.08.png" width="320" /></a></div>Если их наложить друг на друга, вот что получится<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhVamldmjm17Wk5oRB6jh5GFo4lq1qAl0CFzJN5lBZGZNHJbrzr_FxL9Mcd8rxBlTp1YesbNR1LSGftlkrIewYvUDRwbzt10WeaJXThb3Hw1T_33GmPqLfZZ6_Z8_PPC5jjua_XLoCrUkE/s674/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+22.54.10.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="340" data-original-width="674" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhVamldmjm17Wk5oRB6jh5GFo4lq1qAl0CFzJN5lBZGZNHJbrzr_FxL9Mcd8rxBlTp1YesbNR1LSGftlkrIewYvUDRwbzt10WeaJXThb3Hw1T_33GmPqLfZZ6_Z8_PPC5jjua_XLoCrUkE/s320/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+22.54.10.png" width="320" /></a></div>Так что две трактовки имеют разную реализацию!<br /><div><br /><div class="separator" style="clear: both; text-align: left;">Всё дело в процентах, в том как их вычислять и что имел в виду автор.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Затем мне встретилась такая картинка:</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjhcA-8AqhVLUlzdF-Hrs39i8yTuPaPWZq066nACVHe23HmGKjltqSQ5YCxDlahe3mtG6F3UiGogiBqQ4bK3imwmh_jXrPekA8fJHn8HOKiolwLLLGPZLfy_SYbxR29aliC3KshcvwyKqM/s621/eps-1.jpeg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="621" data-original-width="621" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjhcA-8AqhVLUlzdF-Hrs39i8yTuPaPWZq066nACVHe23HmGKjltqSQ5YCxDlahe3mtG6F3UiGogiBqQ4bK3imwmh_jXrPekA8fJHn8HOKiolwLLLGPZLfy_SYbxR29aliC3KshcvwyKqM/w640-h640/eps-1.jpeg" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: left;">Посмотрите, в картинке описано, как именно происходят убавления: -25% это [лиц., лиц, 2 вместе] это означает, что убавляется каждая четвертая петля. А для следующего яруса убавлений -33% [лиц., 2 вместе] означает, что равномерно убавляется каждая третья петля. Получается, что проценты нужно применять не к Y а каждый раз к каждому новому ярусу!</div><div class="separator" style="clear: both; text-align: left;">Посмотрите, как меняется форма кокетки при правильной интерпретации этих процентов!</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg2ObNnb0LTHgm3nN-_cTP3DyCMECn-kUlKONZEjTmIYp0p1mBWiXuZb8UEoa0APpC-bMrJ8gVb85Z48lNpaCb6YSfDCU8z7IUyvWQBx8jBA2Xa5S7IoeXCa52XSgW2LYpuJY1lIlfUYrw/s750/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+23.06.08.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="370" data-original-width="750" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg2ObNnb0LTHgm3nN-_cTP3DyCMECn-kUlKONZEjTmIYp0p1mBWiXuZb8UEoa0APpC-bMrJ8gVb85Z48lNpaCb6YSfDCU8z7IUyvWQBx8jBA2Xa5S7IoeXCa52XSgW2LYpuJY1lIlfUYrw/s320/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+23.06.08.png" width="320" /></a></div><div class="separator" style="clear: both; text-align: left;">Y=1,38*102=140,76 см. Y1=140,76*0,75=105,57 см. Y2=105,57*0,67=70,73 см. Y3=70,73*0,6=42,43 см.</div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgL179GUEDcT4StaWKvL7ozOBxg4UaTNzI2h6iN3Gxcgvtx-vrTUGFCfjKCAVPo81EgGzBGYyU3YAJNHjWVUT3qbjuG_uukW9S8f1gCHm39iLSO1Wtqs95GQOrM9cs6ujncFPuVn7SlFRU/s686/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+23.11.16.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="308" data-original-width="686" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgL179GUEDcT4StaWKvL7ozOBxg4UaTNzI2h6iN3Gxcgvtx-vrTUGFCfjKCAVPo81EgGzBGYyU3YAJNHjWVUT3qbjuG_uukW9S8f1gCHm39iLSO1Wtqs95GQOrM9cs6ujncFPuVn7SlFRU/s320/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+23.11.16.png" width="320" /></a></div>Вот наложение всех трех форм, получающихся тремя трактовками. Думаю, что у многих дизайнеров, пользующихся этой системой, возникает путаница что и как считать!<br /><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Просто запись на картинке из книги "Вязание без слез" некорректная!</div><div class="separator" style="clear: both; text-align: left;">Нельзя писать Y2=Y-33% а нужно писать Y2=0,67*Y1 имея в виду не проценты а сантиметры (ну и затем, конечно, петли).</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Я нашла, что первая картинка с записью Y2=Y-33% была опубликована ранее в книге </div><div style="background-color: white; box-sizing: border-box; color: #0f1111; font-family: "Amazon Ember", Arial, sans-serif; line-height: 36px; margin: 0px; padding: 0px; text-align: left; text-rendering: optimizelegibility;"><span class="a-size-extra-large" id="productTitle" style="box-sizing: border-box; font-size: medium; line-height: 36px; text-rendering: optimizelegibility;"><b>Knitting in the Old Way: Designs and Techniques from Ethnic Sweaters (2003)</b></span></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://images-na.ssl-images-amazon.com/images/I/5160RPF4VYL._SX368_BO1,204,203,200_.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="474" data-original-width="370" src="https://images-na.ssl-images-amazon.com/images/I/5160RPF4VYL._SX368_BO1,204,203,200_.jpg" /></a></div>Это сборник статей о теориях вязания, и в том числе здесь отрисована процентная система Циммерман в таком виде, я встречала мнение что здесь теория изложена более наглядно. </div><div><br /></div><div>Мне очень хочется удостовериться, что это именно так. И очень хочется найти оригинальный источник в книге Элизабет Циммерман <b><span style="font-size: medium;">The Opinionated Knitter (Newsletters 1958 - 1968)</span></b>, что она сама писала об этой системе, без трактовок других авторов.</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhcVlUKn1oY9YFG5YOW93WSeJSBleiHbyHkNJndCytS1zlxs_8nCS9VRxfR3bSduSs-u5lsBl-eQcvCX0TcpvUP4wtBU0HalBxBJZk5DlPqgNQAmGr4dluj0HLGKJFJ0Rv3r6j5D-92sGs/s726/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+23.16.40.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="726" data-original-width="716" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhcVlUKn1oY9YFG5YOW93WSeJSBleiHbyHkNJndCytS1zlxs_8nCS9VRxfR3bSduSs-u5lsBl-eQcvCX0TcpvUP4wtBU0HalBxBJZk5DlPqgNQAmGr4dluj0HLGKJFJ0Rv3r6j5D-92sGs/s320/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2021-07-25+%25D0%25B2+23.16.40.png" /></a></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Как я помню, эти записки переводила команда вязальщиц-добровольцев и получилась такая книжка с этой картинкой.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://st1.stranamam.ru/data/cache/2021jan/28/16/26575408_45348-650x0.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="700" data-original-width="529" height="400" src="https://st1.stranamam.ru/data/cache/2021jan/28/16/26575408_45348-650x0.jpg" width="303" /></a></div><br /><div class="separator" style="clear: both; text-align: left;">Все эти три книжки закажу и расскажу еще :)</div><br /><div><br /></div><div class="separator" style="clear: both; text-align: left;"><br /></div><br /><div class="separator" style="clear: both; text-align: left;"><br /></div><br /><div style="text-align: left;"><br /></div><div style="text-align: left;"><br /></div></div>desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com1tag:blogger.com,1999:blog-9035988071494171190.post-44151666056226919122020-10-25T01:34:00.003-07:002020-10-25T01:34:47.261-07:00LALALALA юбка<p> Всем привет!</p><p>Решила записать все заметки по моделированию и расчету LALALALA-юбки.</p><div>Отправной точкой послужила юбка, найденная и "запиненная" еще в 2015 году в азиатских каталогах.</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0dywAgoza1pBy-XgavVz3dHdVwcxqbqP9Ee1QIeZmkomRXW5GsD0E1StJqS2WSiCCm3TQPJsGYXBexOggA5TG9A1YlzbCirCVf8Jb-inF2oGzT4R9qjRAa_MSZEhzU0y7Bi-c5sz1iPU/s552/118974729_593631277977068_9030704962162059160_n.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="552" data-original-width="552" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0dywAgoza1pBy-XgavVz3dHdVwcxqbqP9Ee1QIeZmkomRXW5GsD0E1StJqS2WSiCCm3TQPJsGYXBexOggA5TG9A1YlzbCirCVf8Jb-inF2oGzT4R9qjRAa_MSZEhzU0y7Bi-c5sz1iPU/s320/118974729_593631277977068_9030704962162059160_n.jpg" /></a></div><br /><div><br /></div><div>Обычно вместе с этой юбкой идет описание к юбке из Drops и называется "<a href="http://drops-design.ru/yubka-uvidimsya-v-dubline/" target="_blank">Увидимся в Дублине</a>", но там инструкция к совершенно другой юбке! </div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhiU1sir-rOUDqs1X8G1otrV3zpJQO7eiT2WVUy8UrREcrRkHDvjm2UKEosuD_p88FV8B69w2cyyIGbD2EVFMMOO1OyGhMljJPxJ3OkJAW8wsUbIdwIH2ME0KInTa018h9S7BFYnBkSo4k/s709/196-37-2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="709" data-original-width="458" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhiU1sir-rOUDqs1X8G1otrV3zpJQO7eiT2WVUy8UrREcrRkHDvjm2UKEosuD_p88FV8B69w2cyyIGbD2EVFMMOO1OyGhMljJPxJ3OkJAW8wsUbIdwIH2ME0KInTa018h9S7BFYnBkSo4k/s320/196-37-2.jpg" /></a></div>Эта юбка выполняется сверху вниз и формируется клиньями за счет прибавок. Отправная же юбочка вяжется снизу вверх и формируется убавками на резинке 1х1.<div><br /></div><div>Попались несколько интересных вариантов простых юбок на резинке.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjG07gOQ8V0k-w064YSxd84zY_nzyrJs7G2PTZv6KclisaP6dq7y7yI1bz_AqQZqT04wUSA82rrA62RzSlgfdq9yJpDOLlJJfD8XD73oL5o95s1P-C4YHNKOjx2SuY89ykYLZE625ldfho/s2048/d2e7bd515e3811f9f2250361442fb9ee-02.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="2048" data-original-width="2048" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjG07gOQ8V0k-w064YSxd84zY_nzyrJs7G2PTZv6KclisaP6dq7y7yI1bz_AqQZqT04wUSA82rrA62RzSlgfdq9yJpDOLlJJfD8XD73oL5o95s1P-C4YHNKOjx2SuY89ykYLZE625ldfho/w400-h400/d2e7bd515e3811f9f2250361442fb9ee-02.jpg" width="400" /></a></div>Итак, здесь классический клин, плюс прямой участок до бедра, вариант для взрослых, детям лучше этого прямого участка не делать. Равномерные убавки вдоль границ клина, за 2-3 дорожки от края.<br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqobHKhG_-GuWy2lTbBZ081E48sRwno5wOL6vaSsjxALLS9T8f0vUHjydx2zjM1P49wJ9zzSBjCo9XA6Z0g5rdLY3a_sS3FSKv-62TU5fd1zdK5GunZ8ahXnatPwks5tTk0AozxdUkFEY/s2048/d2e7bd515e3811f9f2250361442fb9ee-03.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="2048" data-original-width="2048" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqobHKhG_-GuWy2lTbBZ081E48sRwno5wOL6vaSsjxALLS9T8f0vUHjydx2zjM1P49wJ9zzSBjCo9XA6Z0g5rdLY3a_sS3FSKv-62TU5fd1zdK5GunZ8ahXnatPwks5tTk0AozxdUkFEY/w400-h400/d2e7bd515e3811f9f2250361442fb9ee-03.jpg" width="400" /></a></div>Здесь классический клин + еще дополнительный клеш за счет треугольной вставки "годе" с более частыми убавками по краям.<br /><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhHizlRl8duetM7lCMgOHdoYfsAXlfLD5LrfkbLw1EQMq6j95g4vj55z-6ygIhRpDUfySibeVRnEyZM6JHjp45e8x8EvVxrKFIuvFVve2mi_nSfn4ziAQXCXuq4-KBb2xhjXBjA71_-_-0/s2048/d2e7bd515e3811f9f2250361442fb9ee-04.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="2048" data-original-width="2048" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhHizlRl8duetM7lCMgOHdoYfsAXlfLD5LrfkbLw1EQMq6j95g4vj55z-6ygIhRpDUfySibeVRnEyZM6JHjp45e8x8EvVxrKFIuvFVve2mi_nSfn4ziAQXCXuq4-KBb2xhjXBjA71_-_-0/w400-h400/d2e7bd515e3811f9f2250361442fb9ee-04.jpg" width="400" /></a></div><div>А это попался интересный вариант равномерных убавок от центра, обязательно попробую связать такую юбочку, в следующий раз ,)<br /><br />Теперь возвращаемся к нашей юбке.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjKhkSUti0RqWBYizwPwFDlaL7-iRzbe87xhv2pKx904DuFC67WVHX8ZI8a13WFW_t4exRh7gSAIsW-v0O8shk12NSSwXyksfBp1x-MBiig9st2jY6r_6xd7iRqX7CCacH5NlmmGaRIgic/s2048/d2e7bd515e3811f9f2250361442fb9ee-01.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="2048" data-original-width="2048" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjKhkSUti0RqWBYizwPwFDlaL7-iRzbe87xhv2pKx904DuFC67WVHX8ZI8a13WFW_t4exRh7gSAIsW-v0O8shk12NSSwXyksfBp1x-MBiig9st2jY6r_6xd7iRqX7CCacH5NlmmGaRIgic/w640-h640/d2e7bd515e3811f9f2250361442fb9ee-01.jpg" width="640" /></a></div><br /><div><br /></div><div>Основная сложность ее разбора в том, что это отзеркаленная в фотошопе юбочка)) по центру идут убавки, которые сделать нельзя. Особенность резинки 1х1 в том, что ее можно убавить либо направо, либо налево, 3 вместе - (а это на резинке получится 6 петель вместе) просто некрасиво будет выглядеть. Так что я пришла к выводу, насколько я смогла разглядеть, что это юбка с прямыми участками и интересными треугольными клиньями с убавками внутри них. </div><div><br />Убавки:<br /><ol style="text-align: left;"><li>по центру клина вверху частые и ниже пореже (для ребенка подходит)</li><li>по бокам клина до середины высоты</li><li>внутри клина также есть (но какая система?)</li><li>снизу достаточно длинный прямой участок (и это мне нравится).</li></ol>Итак, мы имеем 4 клина, в каждом клине прямой вертикальный участок и прямой нижний участок (синий L), и плюс треугольный сам клин, формирующий клёш юбки (зеленый треугольник).</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh1GwNFBOn3zFA40BdbD70RlVPhdSh0jkYyovCiGfBtBabJhvKtSZ6gZXwo2hQOaaiPtBx04b1xByu0ArkHc6zlK2PUlzYDqGDBJODC3zF1NGaVIr6GEI0eXUVKdtxr7zZGjcI5OgBaT54/s1000/%25D0%25BA%25D0%25BB%25D0%25B8%25D0%25BD-%25D0%25BA%25D0%25BE%25D0%25BD%25D1%2581%25D1%2582%25D1%2580%25D1%2583%25D0%25BA%25D1%2586%25D0%25B8%25D1%258F.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1000" data-original-width="1000" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh1GwNFBOn3zFA40BdbD70RlVPhdSh0jkYyovCiGfBtBabJhvKtSZ6gZXwo2hQOaaiPtBx04b1xByu0ArkHc6zlK2PUlzYDqGDBJODC3zF1NGaVIr6GEI0eXUVKdtxr7zZGjcI5OgBaT54/s320/%25D0%25BA%25D0%25BB%25D0%25B8%25D0%25BD-%25D0%25BA%25D0%25BE%25D0%25BD%25D1%2581%25D1%2582%25D1%2580%25D1%2583%25D0%25BA%25D1%2586%25D0%25B8%25D1%258F.jpg" /></a></div><div>Задаем желаемое клешение юбочки, пусть это будет "полусолнце". Достаю свой калькулятор "<a href="https://static-eu.insales.ru/files/1/3046/4451302/original/lace-book-calc.html" target="_blank">схождение ажуров</a>" по адресу http://goo.gl/7VnSh5 , ввожу данные по плотности образца и обхват талии модели, желаемую длину юбочки, выбираю клешение (колокол - четверть солнца; либо полусолнце, либо солнце, либо "круглая кокетка" это 0.6 солнца, как у болгарской юбочки) получаю расчет:</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgi9GwZcK0F6yzrcCGbMeSlINCpDi4KtNTW2Zv9gEzuTYBj6os_nneLrujoHH0KjD3AmZ2gIcLhoIzt2dgkh8MEwCX0IVmc8He5ZHgwGxRUZaql1EFfiijX50u0CFTQiUPEeev0B5mkdkw/s1000/%25D0%25BA%25D0%25BB%25D0%25B8%25D0%25BD-%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1000" data-original-width="1000" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgi9GwZcK0F6yzrcCGbMeSlINCpDi4KtNTW2Zv9gEzuTYBj6os_nneLrujoHH0KjD3AmZ2gIcLhoIzt2dgkh8MEwCX0IVmc8He5ZHgwGxRUZaql1EFfiijX50u0CFTQiUPEeev0B5mkdkw/w640-h640/%25D0%25BA%25D0%25BB%25D0%25B8%25D0%25BD-%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582.jpg" width="640" /></a></div><div>Для моделирования юбки достаточно трех параметров: количество петель в талии, длина в рядах и количество петель по низу. 558 петель по низу: чтобы делилось на 4 клина и везде было четное количество петель для простоты стыков резинки возьмем 552 п. Итого 552:4=138 п. на клин. В талии возьмем 160 п. — на клин вверху приходится 40 петель. Итого мы должны убавить в каждом клине 98 петель. И все это за 160 рядов.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjgy9E492aGXY808YAUZFozBtDqnrdDSmc4jVJryjO-evDFV3WNyjii_YJBFrivbJtx2LqCfO3Oyv2z26_bVggb61yHlBVNVuAVZhdApAv0hRW3w0tBb6IWDukE033cUx29S8J1teVm134/s1000/%25D0%25BA%25D0%25BB%25D0%25B8%25D0%25BD-1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1000" data-original-width="1000" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjgy9E492aGXY808YAUZFozBtDqnrdDSmc4jVJryjO-evDFV3WNyjii_YJBFrivbJtx2LqCfO3Oyv2z26_bVggb61yHlBVNVuAVZhdApAv0hRW3w0tBb6IWDukE033cUx29S8J1teVm134/w400-h400/%25D0%25BA%25D0%25BB%25D0%25B8%25D0%25BD-1.jpg" width="400" /></a></div><div>Такую L-заготовку связала 4 раза на машине :)</div><div><br />Ну, и сама схема, по которой вяжем треугольную часть клина! В схеме рисовала только лицевые петли, без изнаночных петель резинки. Убавки на лицевых. Ну и рядов в два раза меньше, значит только лицевые, клин-то у нас поворотный.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhMEuMTINiYAfmTWpiLcWYoS2JZl7Y5Viyj6yjxKq-CGv7VaROmUsRyBb-48O_oCm7z-onfAVomjTU5dSsXNiV9E-2B0_500wNuNeASstHyKHZsL5aVkirvwLX1PCvhiofoqa7xiIPo5l4/s1635/%25D1%2581%25D1%2585%25D0%25B5%25D0%25BC%25D0%25B0+%25D0%25BA%25D0%25BB%25D0%25B8%25D0%25BD%25D0%25B0.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1635" data-original-width="1110" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhMEuMTINiYAfmTWpiLcWYoS2JZl7Y5Viyj6yjxKq-CGv7VaROmUsRyBb-48O_oCm7z-onfAVomjTU5dSsXNiV9E-2B0_500wNuNeASstHyKHZsL5aVkirvwLX1PCvhiofoqa7xiIPo5l4/w434-h640/%25D1%2581%25D1%2585%25D0%25B5%25D0%25BC%25D0%25B0+%25D0%25BA%25D0%25BB%25D0%25B8%25D0%25BD%25D0%25B0.png" width="434" /></a></div><br /><div>Ура! Всё готово! Можно приступать! </div><div>Вот что у меня получилось из пряжи CASHMERE 16 FNE Lana Grossa</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh_qIGjOW45T2FS4zGeUtzvj46HG1ZmrULcb3Ng4bMwQyDHHPLps8hEIoVhyIDRWX_EW-h8OnAxBPL8Csuq3dx8OSrzHBZJvu47VGVqiU4r5_hEH4tFjh087fvykk4_KD5BPOj20MBBl6k/s640/120601559_1255476848124713_9175539533110977546_n.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="640" data-original-width="640" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh_qIGjOW45T2FS4zGeUtzvj46HG1ZmrULcb3Ng4bMwQyDHHPLps8hEIoVhyIDRWX_EW-h8OnAxBPL8Csuq3dx8OSrzHBZJvu47VGVqiU4r5_hEH4tFjh087fvykk4_KD5BPOj20MBBl6k/w640-h640/120601559_1255476848124713_9175539533110977546_n.jpg" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><div style="text-align: left;">Хештег для такой юбочки в инстаграм завела <a href="https://www.instagram.com/explore/tags/lalalala_%D1%8E%D0%B1%D0%BA%D0%B0/" target="_blank">#LALALALA_юбка</a> по формированию клиньев этой модели, присоединяйтесь, друзья! Свяжите такую шикарную юбочку своим девочкам! А может, и себе! 💃</div><br /></div>desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com2tag:blogger.com,1999:blog-9035988071494171190.post-24148922204196475132018-04-07T13:03:00.001-07:002018-04-08T12:10:43.119-07:00Треугольные шали с углом<div dir="ltr" style="text-align: left;" trbidi="on">
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Мы с девчонками в Трискеле обсуждали недавно треугольные шали, которые вяжутся от угла к углу и посередине идет убавка, формирующая прямой угол. Сейчас очень много таких дизайнов, я соберу их в этой подборке, чтобы не потерять, и потом расскажу свои соображения о конструкции.<br />
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://images4-e.ravelrycache.com/uploads/Maltina/301400946/MatchandMovebyMartinaBehm2__1__medium2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="427" data-original-width="640" height="266" src="https://images4-e.ravelrycache.com/uploads/Maltina/301400946/MatchandMovebyMartinaBehm2__1__medium2.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption"><a href="https://www.ravelry.com/patterns/library/match--move">Match & Move</a><br />
by Martina Behm</td></tr>
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Еще варианты подобных шалей:<br />
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<tr><td style="text-align: center;"><a href="https://images4-e.ravelrycache.com/uploads/marshatf/436530495/IMG_9860_medium2.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="640" data-original-width="640" height="320" src="https://images4-e.ravelrycache.com/uploads/marshatf/436530495/IMG_9860_medium2.JPG" width="320" /></a></td></tr>
<tr><td class="tr-caption"><a href="https://www.ravelry.com/patterns/library/akira">Akira</a><br />
by Tamy Gore</td></tr>
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://images4-e.ravelrycache.com/uploads/SweaterFreak/464828040/serenity5_medium2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="480" data-original-width="640" height="300" src="https://images4-e.ravelrycache.com/uploads/SweaterFreak/464828040/serenity5_medium2.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption"><a href="https://www.ravelry.com/patterns/library/serenity-now">serenity now!</a><br />
by Jenny F</td></tr>
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<tr><td style="text-align: center;"><a href="https://images4-b.ravelrycache.com/uploads/Dubspinner/504993262/IMG_0008__3__medium2.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="427" data-original-width="640" height="266" src="https://images4-b.ravelrycache.com/uploads/Dubspinner/504993262/IMG_0008__3__medium2.JPG" width="400" /></a></td></tr>
<tr><td class="tr-caption"><a href="https://www.ravelry.com/patterns/library/brezza-2">Brezza</a><br />
by Stella Egidi</td></tr>
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У меня такая мысль, что вяжутся они так: начинается с одного угла - прибавки в каждом 2-м ряду а убавки в каждом 4-м:</div>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEghS2A7tKBIvXsS-Kv-vTeCkeG6a0-Ud6IPpLwpaNNHokIDAaW2ULodce_GS0C4i7D9xXN9Z9LjMNXuzRqaAvvQTkcAuc-AlDbK1sxyp_jdcPVxQTwUyTxCFDo3E0K5cBkpMrRODWeOves/s1600/%25D1%2588%25D0%25B0%25D0%25BB%25D1%258C+%25D0%25BD%25D0%25B0%25D1%2587%25D0%25B0%25D0%25BB%25D0%25BE.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="739" data-original-width="499" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEghS2A7tKBIvXsS-Kv-vTeCkeG6a0-Ud6IPpLwpaNNHokIDAaW2ULodce_GS0C4i7D9xXN9Z9LjMNXuzRqaAvvQTkcAuc-AlDbK1sxyp_jdcPVxQTwUyTxCFDo3E0K5cBkpMrRODWeOves/s400/%25D1%2588%25D0%25B0%25D0%25BB%25D1%258C+%25D0%25BD%25D0%25B0%25D1%2587%25D0%25B0%25D0%25BB%25D0%25BE.png" width="270" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Вариант 1</b>. Прибавки в каждом лицевом - убавки в каждом 4-м.</td></tr>
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** UPD Нет, я ошиблась! Мы должны выйти на прямой угол, а при таком распределении убавок угол не получается прямым:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgH_Tg-q6NQ7g0ZzUdQ1kCyePLkDJj8MD6pVpPh1IVXtceWpDpWyJImXIaGmg1p4Kd8ovdnzW_oVFVi2Qp12k4lI3Ulw9N3jO11SsAvgtDiB3t5Xcg4J5dZamMamPWVOwqxiYc1Lus3qo8/s1600/coin1.jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1280" data-original-width="720" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgH_Tg-q6NQ7g0ZzUdQ1kCyePLkDJj8MD6pVpPh1IVXtceWpDpWyJImXIaGmg1p4Kd8ovdnzW_oVFVi2Qp12k4lI3Ulw9N3jO11SsAvgtDiB3t5Xcg4J5dZamMamPWVOwqxiYc1Lus3qo8/s400/coin1.jpeg" width="225" /></a></div>
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А это означает, что убавки (и соответствующие им прибавки) надо делать чаще. Например, так:<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEigDaTPBNgizSViPKrS9G8taLg9ZFuJvhNzARI61DcDtHArxxJUsj57rS9FNrRLeCuKTt6Q5T1w2UhhWjU0bNr_3Y0znGwT_WYeyTyw1RX4OSL-qfoLUESTF8IwSvF4-qvA4YuqYZxR1-o/s1600/%25D1%2588%25D0%25B0%25D0%25BB%25D1%258C+%25D0%25BD%25D0%25B0%25D1%2587%25D0%25B0%25D0%25BB%25D0%25BE2.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="558" data-original-width="645" height="346" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEigDaTPBNgizSViPKrS9G8taLg9ZFuJvhNzARI61DcDtHArxxJUsj57rS9FNrRLeCuKTt6Q5T1w2UhhWjU0bNr_3Y0znGwT_WYeyTyw1RX4OSL-qfoLUESTF8IwSvF4-qvA4YuqYZxR1-o/s400/%25D1%2588%25D0%25B0%25D0%25BB%25D1%258C+%25D0%25BD%25D0%25B0%25D1%2587%25D0%25B0%25D0%25BB%25D0%25BE2.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Вариант 2</b>. Прибавки в каждом ряду - убавки в каждом лицевом.</td></tr>
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Так вяжется до нужной ширины (это будет ровно половина шали). А дальше с одной стороны просто прекращаются убавки и вяжется так до вертикальной линии убавок в центре, а с другой прибавки продолжаются в прежнем ритме:</div>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgIkL34EyNyTpAtGBqBp45IZP3msuCvDDyEa2-tSYUrEZ4J3Wrhl7k393hP9Xtd3emFR8RyXILZ-uj7_260t3TaZaYzh02VQ1WpCGgI5_4UBGQOZehATtjjNwMvlmkrPSQ3Hvfu-Rp2srQ/s1600/%25D1%2588%25D0%25B0%25D0%25BB%25D1%258C+%25D1%2584%25D0%25B8%25D0%25BD%25D0%25B0%25D0%25BB2.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1140" data-original-width="786" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgIkL34EyNyTpAtGBqBp45IZP3msuCvDDyEa2-tSYUrEZ4J3Wrhl7k393hP9Xtd3emFR8RyXILZ-uj7_260t3TaZaYzh02VQ1WpCGgI5_4UBGQOZehATtjjNwMvlmkrPSQ3Hvfu-Rp2srQ/s640/%25D1%2588%25D0%25B0%25D0%25BB%25D1%258C+%25D1%2584%25D0%25B8%25D0%25BD%25D0%25B0%25D0%25BB2.png" width="440" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Финал при варианте 2. </td></tr>
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Таким образом, на этой мини-шальке с 1 по 25 ряд это одна сторона а с 26 по 49 ряд это будет вторая сторона. Но что-то кажется не так. Линия закрытия должна формировать с кромочными петлями справа после 25 ряда единую кромку. Получится ли так? Надо связать и проверить.<br />
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И второй вопрос - чтобы кончики были симметричными, первый надо чуть-чуть вытянуть. По схеме у нас начальный кончик в длину 25 рядов, а финальный кончик в длину 48-25+27 петель = 50 петель то есть в два раза длиннее.<br />
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Похоже, чтобы концы такой шали были одинаковой длины, надо прибавки не делать в каждом 4-м ряду: по высоте и длине вроде получается примерно одинаково:<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTFynxF_uSStPKwxUh4Yd-J6QzlYqYthpktouPz03kyfOh_mqzC4vYPX8Gmkkvj6-N866iGBw7bSXsmRP5SCp0TUokxHvbnXtbuCXtawi-id9YDdeOe_aAZI_ovRYLd5UpyEptW5KyqWA/s1600/%25D1%2588%25D0%25B0%25D0%25BB%25D1%258C+%25D1%2584%25D0%25B8%25D0%25BD%25D0%25B0%25D0%25BB3.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="817" data-original-width="436" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTFynxF_uSStPKwxUh4Yd-J6QzlYqYthpktouPz03kyfOh_mqzC4vYPX8Gmkkvj6-N866iGBw7bSXsmRP5SCp0TUokxHvbnXtbuCXtawi-id9YDdeOe_aAZI_ovRYLd5UpyEptW5KyqWA/s640/%25D1%2588%25D0%25B0%25D0%25BB%25D1%258C+%25D1%2584%25D0%25B8%25D0%25BD%25D0%25B0%25D0%25BB3.png" width="339" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Вариант 3</b>. Прибавки каждые три ряда из четырех, убавки - в каждом лицевом.</td></tr>
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Связала по схеме <b>Варианта 3</b> - получился шарфик.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTtPhe0F6S0CtA8sraf6MjQaUmccpIFL9vh0LHRF1ssbp-oV7SwNojKoYmWngZ3MnYloNiOqebwiG0XMK0_4VNZxLQy63ilisz9GYylIVxZmrStBdkC9dNjG0SC8IJE7Gg88LsEI5G_zo/s1600/%25D1%2588%25D0%25B0%25D1%2580%25D1%2584%25D0%25B8%25D0%25BA1.jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1280" data-original-width="960" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTtPhe0F6S0CtA8sraf6MjQaUmccpIFL9vh0LHRF1ssbp-oV7SwNojKoYmWngZ3MnYloNiOqebwiG0XMK0_4VNZxLQy63ilisz9GYylIVxZmrStBdkC9dNjG0SC8IJE7Gg88LsEI5G_zo/s320/%25D1%2588%25D0%25B0%25D1%2580%25D1%2584%25D0%25B8%25D0%25BA1.jpeg" width="240" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgN-5mEMTAx5TD1XfttezW-WmaFxPkDfJ3RJLLXqw6Oj6nxCy1aahdFg7ZQrKDcoa0DXwWJCoOEHZWqwzq3_aDh6HlFG81_x4a6GKNb6P5alY3BNDwjTt7c1yYfVJ9WQVBUGSSYGzHCjMU/s1600/%25D1%2588%25D0%25B0%25D1%2580%25D1%2584%25D0%25B8%25D0%25BA.jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1280" data-original-width="720" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgN-5mEMTAx5TD1XfttezW-WmaFxPkDfJ3RJLLXqw6Oj6nxCy1aahdFg7ZQrKDcoa0DXwWJCoOEHZWqwzq3_aDh6HlFG81_x4a6GKNb6P5alY3BNDwjTt7c1yYfVJ9WQVBUGSSYGzHCjMU/s320/%25D1%2588%25D0%25B0%25D1%2580%25D1%2584%25D0%25B8%25D0%25BA.jpeg" width="180" /></a></div>
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Думаю, все-таки надо придерживаться большего клешения и прибавлять по варианту 2.<br />
Единственное, что пока удалось выяснить - это то что линия закрытия при прямом угле ложится в ровную линию без особых усилий (и при любых вариантах прибавок с внешнего края).<br />
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И еще соберу интересные разновидности таких треугольных шалей со смещением этой линии убавок с середины к верхнему краю (всегда на одном расстоянии). Это достигается путем разных программ прибавок справа и слева.</div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://images4-b.ravelrycache.com/uploads/ambahobrien/353636773/image_medium.jpeg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="500" data-original-width="500" src="https://images4-b.ravelrycache.com/uploads/ambahobrien/353636773/image_medium.jpeg" /></a></td></tr>
<tr><td class="tr-caption"><a href="https://www.ravelry.com/patterns/library/celadon-shawl">Celadon Shawl</a><br />
by Ambah O'Brien</td></tr>
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А вот два проекта, где угол посередине не кажется прямым</div>
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<tr><td style="text-align: center;"><a href="https://images4-b.ravelrycache.com/uploads/tma/473051047/20170912_170814_medium2.jpeg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="569" data-original-width="640" height="284" src="https://images4-b.ravelrycache.com/uploads/tma/473051047/20170912_170814_medium2.jpeg" width="320" /></a></td></tr>
<tr><td class="tr-caption"><a href="https://www.ravelry.com/patterns/library/do-it-up">Do It Up</a><br />
by tante ehm</td></tr>
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Эта с зеркальным отражением цвета:</div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://images4-b.ravelrycache.com/uploads/quitten/461043046/DSC_9947-9a_medium2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="640" data-original-width="640" height="320" src="https://images4-b.ravelrycache.com/uploads/quitten/461043046/DSC_9947-9a_medium2.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption"><a href="https://www.ravelry.com/patterns/library/harlequin-20">Harlequin</a><br />
by Frauke Neubauer (Strickwetter)</td></tr>
</tbody></table>
<div>
А здесь линия стыка стала зигзагообразной:</div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://images4-e.ravelrycache.com/uploads/drillis351/396620308/P_20160907_175937_medium2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="480" data-original-width="640" height="300" src="https://images4-e.ravelrycache.com/uploads/drillis351/396620308/P_20160907_175937_medium2.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption"><a href="https://www.ravelry.com/patterns/library/streetscape">Streetscape</a><br />
by Jana Huck</td></tr>
</tbody></table>
И таких зигзагов можно прибавлять и прибавлять:<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://images4-b.ravelrycache.com/uploads/MartinaBehm/480616311/RockinrowsbyMartinaBehm32_medium2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="640" data-original-width="640" height="400" src="https://images4-b.ravelrycache.com/uploads/MartinaBehm/480616311/RockinrowsbyMartinaBehm32_medium2.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption"><a href="https://www.ravelry.com/patterns/library/rockin-rows">Rockin’ Rows</a><br />
by Martina Behm</td></tr>
</tbody></table>
<div>
Или вести их по краю:</div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://images4-b.ravelrycache.com/uploads/remily/407449132/20161103_102058_medium2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="285" data-original-width="640" height="284" src="https://images4-b.ravelrycache.com/uploads/remily/407449132/20161103_102058_medium2.jpg" width="640" /></a></td></tr>
<tr><td class="tr-caption"><a href="https://www.ravelry.com/patterns/library/mini-mazy">Mini Mazy</a><br />
by Rachel Henry</td></tr>
</tbody></table>
<div>
А вот угол вообще в другую сторону:</div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://images4-e.ravelrycache.com/uploads/cassiemunksgard/407557180/B92U5479_medium2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="427" data-original-width="640" height="266" src="https://images4-e.ravelrycache.com/uploads/cassiemunksgard/407557180/B92U5479_medium2.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption"><a href="https://www.ravelry.com/patterns/library/morrison">Morrison</a><br />
by <a href="https://www.ravelry.com/designers/cassie-munksgard">Cassie Munksgard</a></td></tr>
</tbody></table>
<div>
Все эти шали примерно одинаковой формы, пропорций (глубина шали и ее размах) - они все на спине висят прямым углом, и имеют одинаковые длины сторон - или все-таки нет?</div>
</div>
desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com1tag:blogger.com,1999:blog-9035988071494171190.post-67543076641102740112018-04-03T09:19:00.001-07:002018-04-03T09:23:05.963-07:00Платье по расчету #коническая_юбка<div dir="ltr" style="text-align: left;" trbidi="on">
Всем привет!<br />
Решила сделать записки о платье, которое недавно связала.<br />
<br />
Для тех кто впервые слышит о моем методе расчета вязания <a href="http://dezdemona-knit.blogspot.ru/search/label/%D0%BA%D0%BE%D0%BD%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B0%D1%8F_%D1%8E%D0%B1%D0%BA%D0%B0">коническая_юбка</a> - сходите по ссылке, по этому ключевому словосочетанию коплю все проекты и размышления на тему вязания конических поверхностей и секторов круга. Основная идея метода - правильное распределение прибавок при вязании сверху вниз и убавок при вязании снизу вверх конических форм.<br />
<br />
Используя процентные соотношения обхвата кокетки, горловины и ее высоты в процентной системе Элизабет Циммерман (EPS Elisabeth Zimmermann), можно посчитать общее клешение круглой кокетки - оно составляет 0.6 от полного круга (солнца). Доказательство приводила у себя в инстаграм <a href="https://www.instagram.com/p/BQhdAo6jj16/">здесь</a>.<br />
<br />
Задавая клешение 0.6, и меняя высоту кокетки (перемещая уровень горловины ниже или выше по желанию), можно правильно распределить прибавки или убавки, в зависимости от направления вязания.<br />
<br />
В калькуляторе из книги "Схождение ажуров" раньше у меня было только клешение 1/4 (колокол), 1/2 (полусолнце) и 1 (солнце), теперь мы добавили еще клешение "Круглая кокетка" (и коэффициент берем равным 0.6). Итак, дальше будет математика, но без нее никуда.<br />
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<h3 style="text-align: left;">
Расчет круглой кокетки</h3>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrOC9Hfd7wN87QDR1SblZ45E6ATfgrlcbitcAUR1uKtCvrio2G_yTtw5EnI0_bJ7NK0eEGMtcV85MoTFn1ohf1i8cWdppebi9y-4FLcjsCvPAtRZeiFm7va4Bq9a7NelRUDu-jdr50cc8/s1600/%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582+%25D0%25BA%25D1%2580%25D1%2583%25D0%25B3%25D0%25BB%25D0%25BE%25D0%25B8%25CC%2586+%25D0%25BA%25D0%25BE%25D0%25BA%25D0%25B5%25D1%2582%25D0%25BA%25D0%25B81.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1600" data-original-width="1600" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrOC9Hfd7wN87QDR1SblZ45E6ATfgrlcbitcAUR1uKtCvrio2G_yTtw5EnI0_bJ7NK0eEGMtcV85MoTFn1ohf1i8cWdppebi9y-4FLcjsCvPAtRZeiFm7va4Bq9a7NelRUDu-jdr50cc8/s320/%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582+%25D0%25BA%25D1%2580%25D1%2583%25D0%25B3%25D0%25BB%25D0%25BE%25D0%25B8%25CC%2586+%25D0%25BA%25D0%25BE%25D0%25BA%25D0%25B5%25D1%2582%25D0%25BA%25D0%25B81.jpg" width="320" /></a></div>
<div>
<br /></div>
Обхват талии (в нашем случае, горловины) 35 см, Высота юбки (в нашем случае, кокетки) 11 см,<br />
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<br /></div>
<div>
Связала образец, плотность образца 19 п. х 30 р. в квадрате 10х10. Всё - можно считать!</div>
<div>
<br /></div>
<div>
Идем <a href="http://goo.gl/7VnSh5">в калькулятор</a> , выбираем клешение "Круглая кокетка", вводим четыре цифры 11-35-19-30 и смотрим на варианты выполнения убавок (калькулятор считает только для вязания снизу вверх):</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXIQNA1yx35e_FKeQXsaSBXCpPYJBMMoyfvTiU45ZODHSrcaRakQIwYJcXwgyz3yjcpCuSteepVOdDt22pA9UVWTOEjFdthd6vpKovl-l11W6VOv0fPLv7SZE-k3zNMlA0bwLiOMuK4M8/s1600/%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582+%25D0%25BA%25D1%2580%25D1%2583%25D0%25B3%25D0%25BB%25D0%25BE%25D0%25B8%25CC%2586+%25D0%25BA%25D0%25BE%25D0%25BA%25D0%25B5%25D1%2582%25D0%25BA%25D0%25B82.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1600" data-original-width="1600" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXIQNA1yx35e_FKeQXsaSBXCpPYJBMMoyfvTiU45ZODHSrcaRakQIwYJcXwgyz3yjcpCuSteepVOdDt22pA9UVWTOEjFdthd6vpKovl-l11W6VOv0fPLv7SZE-k3zNMlA0bwLiOMuK4M8/s400/%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582+%25D0%25BA%25D1%2580%25D1%2583%25D0%25B3%25D0%25BB%25D0%25BE%25D0%25B8%25CC%2586+%25D0%25BA%25D0%25BE%25D0%25BA%25D0%25B5%25D1%2582%25D0%25BA%25D0%25B82.jpg" width="400" /></a></div>
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4->3 означает, что на высоте 5 и 8 см нужно будет из 4-х петель сделать 3, то есть провязать 2 петли и 2 вместе, и так по кругу, дважды. То есть, если считать в петлях и рядах, для вязании кокетки математически идеальна такая картина:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiwltUrb2v1wBM2suCYy61HVNFGmbq2Rp3ZtwYiTVlv8z-DVNI-f6b_RpqocWUy-xl0vW5k5hxgHAwdRocXHsFg0e3HECpT15rw4wN9NblkGoFXIdoIz7kRFyLNQ39Igo8TBsSPqQkDyqU/s1600/%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582+%25D0%25BA%25D1%2580%25D1%2583%25D0%25B3%25D0%25BB%25D0%25BE%25D0%25B8%25CC%2586+%25D0%25BA%25D0%25BE%25D0%25BA%25D0%25B5%25D1%2582%25D0%25BA%25D0%25B83.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1600" data-original-width="1600" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiwltUrb2v1wBM2suCYy61HVNFGmbq2Rp3ZtwYiTVlv8z-DVNI-f6b_RpqocWUy-xl0vW5k5hxgHAwdRocXHsFg0e3HECpT15rw4wN9NblkGoFXIdoIz7kRFyLNQ39Igo8TBsSPqQkDyqU/s400/%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582+%25D0%25BA%25D1%2580%25D1%2583%25D0%25B3%25D0%25BB%25D0%25BE%25D0%25B8%25CC%2586+%25D0%25BA%25D0%25BE%25D0%25BA%25D0%25B5%25D1%2582%25D0%25BA%25D0%25B83.jpg" width="400" /></a></div>
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Верхний ярус высчитала как 6->5 чтобы получить примерно нужное на талии число (всегда нужно проводить корректировку на талии, при использовании метода).<br />
<br />
Слева нарисовала стрелочку. Это означает, что математика предлагает такой ход событий при вязании снизу вверх. А я-то хочу вязать сверху вниз. Поэтому картинку переворачиваю:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEib9i24H_HIzoxM1vnpcw9zeE9q7ePSmfG6xBmSHZYnQQ8oAKNHqh449U1FEJAU_vhK25jpKVOxUq10SOwwPoEMlQsJx2js7NcQPs9wj4sKDnu6-LDLg9xoy2Qx5tx3O6p9aDghpVkTW1I/s1600/%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582+%25D0%25BA%25D1%2580%25D1%2583%25D0%25B3%25D0%25BB%25D0%25BE%25D0%25B8%25CC%2586+%25D0%25BA%25D0%25BE%25D0%25BA%25D0%25B5%25D1%2582%25D0%25BA%25D0%25B84.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1600" data-original-width="1600" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEib9i24H_HIzoxM1vnpcw9zeE9q7ePSmfG6xBmSHZYnQQ8oAKNHqh449U1FEJAU_vhK25jpKVOxUq10SOwwPoEMlQsJx2js7NcQPs9wj4sKDnu6-LDLg9xoy2Qx5tx3O6p9aDghpVkTW1I/s400/%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582+%25D0%25BA%25D1%2580%25D1%2583%25D0%25B3%25D0%25BB%25D0%25BE%25D0%25B8%25CC%2586+%25D0%25BA%25D0%25BE%25D0%25BA%25D0%25B5%25D1%2582%25D0%25BA%25D0%25B84.jpg" width="400" /></a></div>
Как раз очень хорошо выполнить резиночку и сразу сделать эту корректировку 5-6 (прибавить каждую 6-ю петлю) на раскрытие кокетки.<br />
<br />
В нижнем ярусе кокетки сделаю "музыкальный" узор :с применением техники <a href="https://www.instagram.com/explore/tags/puffcolorknitting/">puffcolorknitting</a>. Конечно, не забыть росток и капельку-разрез сзади, а то голова не пролезет!<br />
Капельку-разрез обрамляю резинкой в 3 петли. Росток на спинке в 4 ряда, после первой прибавки.<br />
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Кокетка сидит хорошо, и после завершения узора разделяю петли на перед (1/3) спинку (1/3) и рукава (1/6+1/6).<br />
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Хотела вязать кофточку, но дочка настояла чтобы я сделала платье. Пряжи впритык, но решила рискнуть. По достижении талии получаю 108 петель.<br />
<h3 style="text-align: left;">
Расчет юбочки-колокол</h3>
Решили делать неширокое клешение, так как пряжи мало. Самое маленькое - это колокол (1/4 круга). Измеряю обхват талии 52 см.<br />
<br />
Плотность у меня известна, а длину юбочки закладываю 40 см. Снова применяю калькулятор:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgfm5aDNPGQJ0ZXc3_jWkxh2vEJGAb7pxSUp_Qkds57ZQBit3LoSSR4glTeLPqcFo0r1O74ccTEPuGYXsgMnccZ3doucYWKHNaPzxgn_maFhEt0XVbcm3pvMfIrtmy3SPmznA7DnwlnBDM/s1600/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2018-03-22+%25D0%25B2+22.28.43.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="669" data-original-width="1600" height="265" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgfm5aDNPGQJ0ZXc3_jWkxh2vEJGAb7pxSUp_Qkds57ZQBit3LoSSR4glTeLPqcFo0r1O74ccTEPuGYXsgMnccZ3doucYWKHNaPzxgn_maFhEt0XVbcm3pvMfIrtmy3SPmznA7DnwlnBDM/s640/%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA+%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0+2018-03-22+%25D0%25B2+22.28.43.png" width="640" /></a></div>
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<br />
Мне нравится когда ярусов больше, тогда интереснее вязать. Значит интереснее всего здесь <u>убавления 4->3</u>: <br />
<br />
<b>1 ярус</b>: 218 петель -> 163 петли на высоте 55 рядов.<br />
<b>2 ярус</b>: 163 петли -> 122 петли на высоте 96 рядов.<br />
<br />
Нам надо прийти к 108 петелям, поэтому потребуется еще убавка у талии которая приведет из 122 к нашим 108 петлям (или убавить придется каждую пятую петлю).<br />
<br />
Мы помним, что это рекомендация для вязания снизу вверх. А я вяжу сверху вниз! Переворачиваю "инструкцию" <br />
<br />
<u>прибавления 3->4</u> (прибавлять буду через каждые три петли)<br />
<br />
<b>1 ярус</b>: на высоте 24 ряда прибавки каждой четвертой - из 108 петель -> 144 петли.<br />
<b>2 ярус</b>: на высоте 65 рядов прибавки каждой четвертой - из 144 петель получится 192 п.<br />
<br />
Общая высота юбки остается той же 120 рядов.<br />
<br />
Так как юбочка достаточно узкая, верхние ярусы немного сместила выше (см замечание о высоте ярусов <a href="https://www.instagram.com/p/Bea238VnrzK/">здесь</a>).<br />
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Вот и всё! Снизу сделала 5 платочных рубчиков через 2 ряда, чтобы завязать с рисунком кокетки. Рукава связала 4 ряда гладью и дальше резинка, как на горловине, закрыла иглой.<br />
<br />
Купила брошку "скрипичный ключ". Носим и радуемся! Чего и всем желаем!<br />
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desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com2tag:blogger.com,1999:blog-9035988071494171190.post-28514778883530198982018-03-25T02:26:00.000-07:002018-03-25T02:26:41.841-07:00О мастерстве и помощниках Мастера<div dir="ltr" style="text-align: left;" trbidi="on">
Все давно хочу написать этот пост, и все никак не соберусь.<br />
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Как все-таки важно людям - "звездам" - найти своего человека. Как важно этому человеку уметь работать в команде, и всегда помнить, кто лидер, и "не отсвечивать", не перетягивать внимание на себя. За большими людьми всегда стоит целая команда, всегда, это слаженная работа помощников, а мы видим и знаем только одного человека.<br />
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Вот такие мысли у меня возникают, когда смотрю эти записи Леонида Агутина.<br />
Посмотрите на тех кто ему подпевает и как они это делают. На мой взгляд, замечательный второй голос здесь:<br />
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<iframe allow="autoplay; encrypted-media" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/hRuDDCx5s4U" width="560"></iframe>
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И слишком яркий, перебивающий здесь:<br />
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А еще как важно все-таки петь свою песню, не мотаться "туда-сюда", а снова и снова "точить", раз за разом петь и снова решаться ее спеть! Это вызывает у меня огромное уважение к большим Мастерам. Это действительно требует больших сил - оставаться в своей песне и петь ее всю жизнь. Великое Мастерство.<br />
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Речь не только о музыке, а о творческой работе вообще. В том числе, и о моей команде и о нашем лидере. Оставаться помощником и чувствовать себя помощником Мастера. Быть нужным и не отсвечивать. Помогать Мастеру петь Его песню, сколько хватит сил.</div>
desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com2tag:blogger.com,1999:blog-9035988071494171190.post-26087093854248361712018-01-14T02:19:00.001-08:002018-01-14T02:33:57.219-08:00Юбка в складку<div dir="ltr" style="text-align: left;" trbidi="on">
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Всем привет! Всех в Новым годом! Радости и гармонии в душе и в мире вокруг вас!<br />
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У меня новая страсть - юбка в складку. Плиссе и гофре - из моды 50-60-х годов вдруг захватили меня. Во-первых, между ними есть разница :)<br />
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Складки в <b>плиссе</b> закладываются параллельно, их ширина больше подгиба, складки "лежачие". Складки в <b>гофре</b> одинаковые по ширине с подгибом, есть разновидность <b>расклешенного гофре</b>, складки "стоячие", не заложенные.<br />
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И, конечно, мне интересны воплощения юбки в складку в области вязания. И из трех выше перечисленных юбок буду рассматривать расклешенное гофре.<br />
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Классический пример расклешенного гофре - "<b>Болгарская юбка"</b>. Вот схема вязания - четыре яруса прибавок, вяжем от талии вниз.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgpOBjBJo9PFXKEWPIb3BB2CYk9w8MjNnvJ6BL-XffL0DR3I53_6SWsNNkoo5CQ2vIR65hWzBcOQGPJhgj0j7KEAweZMkGsXKGmGaB92_UD6MoROp2JpdcCZKd5MaVsSx_oy6qrck_hsA4/s1600/%25D0%25B1%25D0%25BE%25D0%25BB%25D0%25B3%25D0%25B0%25D1%2580%25D1%2581%25D0%25BA%25D0%25B0%25D1%258F+%25D1%258E%25D0%25B1%25D0%25BA%25D0%25B0.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="477" data-original-width="760" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgpOBjBJo9PFXKEWPIb3BB2CYk9w8MjNnvJ6BL-XffL0DR3I53_6SWsNNkoo5CQ2vIR65hWzBcOQGPJhgj0j7KEAweZMkGsXKGmGaB92_UD6MoROp2JpdcCZKd5MaVsSx_oy6qrck_hsA4/s640/%25D0%25B1%25D0%25BE%25D0%25BB%25D0%25B3%25D0%25B0%25D1%2580%25D1%2581%25D0%25BA%25D0%25B0%25D1%258F+%25D1%258E%25D0%25B1%25D0%25BA%25D0%25B0.png" width="640" /></a></div>
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Я связала такую юбку дочке, и она носит ее в школу, очень мне нравится и клешение и драпировка. Использовала меринос, юбочка достаточно тяжелая, поэтому складки всегда "ходят", дочке она очень нравится.<br />
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Теперь решила связать юбочку для младшенькой :)<br />
Так как повторять не хочется - решила пофантазировать над складкой и посмотреть какие есть проекты на тему юбок в складку с рисунком резинка.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjioeQI__E4x4rspyLFx2y8holSFGEjtXX_4zjaVfX7ULai-53Y5A1dWlvRe1hQDx0aHWVb_pfguorKq1Ku21OBeIjvQeMw_vVEHITMrbcOTF1uyWrl_hnEnhtPpGl5wR186zuF4UlECiM/s1600/%25D1%258E%25D0%25B1%25D0%25BA%25D0%25B0+1+%25D0%25BB%25D0%25B8%25D1%2586%25D0%25B5%25D0%25B2%25D0%25B0%25D1%258F.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="478" data-original-width="771" height="247" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjioeQI__E4x4rspyLFx2y8holSFGEjtXX_4zjaVfX7ULai-53Y5A1dWlvRe1hQDx0aHWVb_pfguorKq1Ku21OBeIjvQeMw_vVEHITMrbcOTF1uyWrl_hnEnhtPpGl5wR186zuF4UlECiM/s400/%25D1%258E%25D0%25B1%25D0%25BA%25D0%25B0+1+%25D0%25BB%25D0%25B8%25D1%2586%25D0%25B5%25D0%25B2%25D0%25B0%25D1%258F.png" width="400" /></a> <a href="https://i.pinimg.com/564x/e0/9f/e2/e09fe26ce8027bee7ed8e2563f33f75a.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="450" data-original-width="300" height="320" src="https://i.pinimg.com/564x/e0/9f/e2/e09fe26ce8027bee7ed8e2563f33f75a.jpg" width="213" /></a></div>
Юбка в основе 1 лицевая петля, все прибавки делаются в изнаночной глади (хочу такую связать). Пример - юбка <a href="https://www.ravelry.com/patterns/library/isobel-skirt"><b>Isobel Skirt</b> by Cia Abbott Bullemer</a> - лицевую надо вязать скрещенной.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiPi3JIISIKWX5MqL-4AplDoOxm2MrEMyXEF2UuXUg5LgUsXcMNrOAl9D8FLNKw9takduOSVKT_F4idc1fr8C-XI6qlsL3oO2RTR7xhQZEjij-N0vgtKm-QsmJLbF40yKGJXyKo7XTM4Yw/s1600/%25D1%258E%25D0%25B1%25D0%25BA%25D0%25B0+2+%25D0%25BB%25D0%25B8%25D1%2586%25D0%25B5%25D0%25B2%25D1%258B%25D1%2585.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="483" data-original-width="774" height="248" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiPi3JIISIKWX5MqL-4AplDoOxm2MrEMyXEF2UuXUg5LgUsXcMNrOAl9D8FLNKw9takduOSVKT_F4idc1fr8C-XI6qlsL3oO2RTR7xhQZEjij-N0vgtKm-QsmJLbF40yKGJXyKo7XTM4Yw/s400/%25D1%258E%25D0%25B1%25D0%25BA%25D0%25B0+2+%25D0%25BB%25D0%25B8%25D1%2586%25D0%25B5%25D0%25B2%25D1%258B%25D1%2585.png" width="400" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhlk6TTEH5BrA_l0u2ktFHqAjZmb-eWBb9Rd1LD6SEAHlC7dhf7sDDAoETDuCB7FHz1nsR4plYKOgivfHQYnUTQn1UlsJ59aUmdOstG1k0Oer5DELhfxCAL18Q-JaG447kZ9TDuGoWiCZM/s1600/%25D1%258E%25D0%25B1%25D0%25BA%25D0%25B0+3+%25D0%25BB%25D0%25B8%25D1%2586%25D0%25B5%25D0%25B2%25D1%258B%25D1%2585.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="486" data-original-width="772" height="251" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhlk6TTEH5BrA_l0u2ktFHqAjZmb-eWBb9Rd1LD6SEAHlC7dhf7sDDAoETDuCB7FHz1nsR4plYKOgivfHQYnUTQn1UlsJ59aUmdOstG1k0Oer5DELhfxCAL18Q-JaG447kZ9TDuGoWiCZM/s400/%25D1%258E%25D0%25B1%25D0%25BA%25D0%25B0+3+%25D0%25BB%25D0%25B8%25D1%2586%25D0%25B5%25D0%25B2%25D1%258B%25D1%2585.png" width="400" /></a></div>
Если увеличить количество лицевых петель в дорожке (складке) то юбка уже превращается в клиньевую и становится всё больше похожей на "годе". Чем шире дорожка, тем чаще надо делать прибавки, чтобы достичь того же клешения, что и оригинальная болгарская юбка. Для дорожек из двух петель - 6 ярусов, а для дорожек из трех петель - уже 10 ярусов прибавок.<br />
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Пример:<br />
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<a href="https://images4-b.ravelrycache.com/uploads/foxslane/53712411/skirt2_medium.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="332" data-original-width="500" height="265" src="https://images4-b.ravelrycache.com/uploads/foxslane/53712411/skirt2_medium.jpg" width="400" /></a></div>
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<a href="https://www.ravelry.com/patterns/library/pleated-twirly-skirt">Pleated Twirly Skirt by Jackie Michaels</a><br />
Вообще, пример с клешением в клиньях изнаночной глади и сохранением прямой складки гораздо популярнее других, и можно привести много вариантов такой юбочки.<br />
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<h3 style="text-align: left;">
О распределении прибавок</h3>
Для юбки из клиньев - а все перечисленные юбочки состоят из клиньев - прибавки нужно распределять равномерно по всей длине. Тогда юбочка при раскручивании будет правильной конической формы. И для детских юбок это идеально подходит.<br />
Если же рассмотреть взрослую фигуру, и то как вяжут юбочки для взрослых, верхний ярус прибавок делают короче, то есть верхние прибавки размещают выше бедра, а дальнейшие ярусы распределяют с увеличением к последнему.<br />
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Например, японский дизайнер Rieko описала болгарскую юбочку <a href="http://bulgarian%20knitted%20skirt%20%E3%83%96%E3%83%AB%E3%82%AC%E3%83%AA%E3%82%A2%E3%81%AE%E6%89%8B%E7%B7%A8%E3%81%BF%E3%82%B9%E3%82%AB%E3%83%BC%E3%83%88%20by%20rieko/">Bulgarian Skirt</a> и предложила вот такое распределение прибавок в ярусах и увеличение размера спиц:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiWFXlPQz8WGVWFoKYOzFyciqc93gLp-Bfg0t3rn838a3wsuGQ-vXjSRnPkA5JU4RJCzGiyfYYDw3rB7bFuO2MNDDlV1FBVUJ18X6dXfMfdPIpkKRiNqBZz4PtKV7OFgMoEuCS8bxf7NDo/s1600/Bulgarian+Skirt+by+Rieko.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1524" data-original-width="1524" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiWFXlPQz8WGVWFoKYOzFyciqc93gLp-Bfg0t3rn838a3wsuGQ-vXjSRnPkA5JU4RJCzGiyfYYDw3rB7bFuO2MNDDlV1FBVUJ18X6dXfMfdPIpkKRiNqBZz4PtKV7OFgMoEuCS8bxf7NDo/s400/Bulgarian+Skirt+by+Rieko.jpg" width="400" /></a></div>
Таким образом, юбочка, связанная по такому алгоритму, перестанет быть строго конической, нижние ярусы будут более вытянуты, а верхние подняты - по форме можно назвать такую юбочку "колокольчик".<br />
Имея в виду японский опыт, и судя по отзывам все его придерживаются, для взрослых нужно именно так распределять ярусы, отталкиваясь от равномерного распределения строгой конической формы.<br />
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<h3>
Винтажные модели из каталога Hand Knit Fashions (1950 г).</h3>
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На глаза мне попались три юбочки в складку, описание которых разместили <a href="http://freevintageknitting.com/patternbook/bernhard341/bear-brand-hand-knit-fashions">здесь</a> .</div>
Хочу перевести и оставить их у себя, для коллекции.<br />
<h2 style="background-color: #f9f8fa; border: 0px; clear: none; color: #515d52; font-family: Georgia, "Times New Roman", Times, serif; font-size: 24px; font-weight: inherit; margin: 0px; padding: 0.5em 0px 0px; vertical-align: baseline;">
Narrow Ribbed Skirt Pattern</h2>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqMaZoIc4kt-BBrGW7rl2FncT7ZD5CoLvE0Hs24BxA8B_Xt8JgfTBIgl_tyDKlUQTkRLSCPODIOAlHy4Ty9w-jnwurUmpLBRn6ZHh2WK1CEtdmHFoE4Q_ITgRdwU5cd36-9bzub0zheCI/s1600/bernhard341_nosk3.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="300" data-original-width="177" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqMaZoIc4kt-BBrGW7rl2FncT7ZD5CoLvE0Hs24BxA8B_Xt8JgfTBIgl_tyDKlUQTkRLSCPODIOAlHy4Ty9w-jnwurUmpLBRn6ZHh2WK1CEtdmHFoE4Q_ITgRdwU5cd36-9bzub0zheCI/s1600/bernhard341_nosk3.jpg" /></a><b>Длина</b> 30 дюймов (около 76 см). Плотность около 32 п. в 10 см. Юбочка вяжется снизу вверх (с убавлениями). Для изменения длины предлагают внести коррекцию перед первой убавкой.</div>
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<b>Размеры</b>: 12-14-16-18-20<br />
<table border="0" cellpadding="0" cellspacing="0" style="background-color: #f9f8fa; border-bottom-color: rgb(249, 248, 250); border-bottom-style: solid; border-image: initial; border-left-color: initial; border-left-style: initial; border-right-color: initial; border-right-style: initial; border-spacing: 0px; border-top-color: rgb(249, 248, 250); border-top-style: solid; border-width: 2px 0px; color: #515d52; font-family: Tahoma, Verdana, Helvetica, Arial, sans-serif; font-size: small; margin: 1em 0px 1.4em; padding: 0px; vertical-align: baseline;"><tbody style="border: 0px; font-family: inherit; font-size: 13px; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">
<tr style="border: 0px; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px 2px; vertical-align: baseline;"><td style="border-bottom-color: rgb(243, 238, 243); border-bottom-style: dotted; border-image: initial; border-left-color: initial; border-left-style: initial; border-right-color: initial; border-right-style: initial; border-top-color: initial; border-top-style: initial; border-width: 0px 0px 1px; font-family: inherit; font-size: small; font-style: inherit; height: 1em; margin: 0px; padding: 0.2em 2px; vertical-align: baseline;" width="187"><div style="border: 0px; font-family: inherit; font-size: 13px; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">
Обхват талии</div>
</td><td style="border-bottom-color: rgb(243, 238, 243); border-bottom-style: dotted; border-image: initial; border-left-color: initial; border-left-style: initial; border-right-color: initial; border-right-style: initial; border-top-color: initial; border-top-style: initial; border-width: 0px 0px 1px; font-family: inherit; font-size: small; font-style: inherit; height: 1em; margin: 0px; padding: 0.2em 2px; vertical-align: baseline;" width="90"><div style="border: 0px; font-family: inherit; font-size: 13px; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">
63</div>
</td><td style="border-bottom-color: rgb(243, 238, 243); border-bottom-style: dotted; border-image: initial; border-left-color: initial; border-left-style: initial; border-right-color: initial; border-right-style: initial; border-top-color: initial; border-top-style: initial; border-width: 0px 0px 1px; font-family: inherit; font-size: small; font-style: inherit; height: 1em; margin: 0px; padding: 0.2em 2px; vertical-align: baseline;" width="90"><div style="border: 0px; font-family: inherit; font-size: 13px; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">
67</div>
</td><td style="border-bottom-color: rgb(243, 238, 243); border-bottom-style: dotted; border-image: initial; border-left-color: initial; border-left-style: initial; border-right-color: initial; border-right-style: initial; border-top-color: initial; border-top-style: initial; border-width: 0px 0px 1px; font-family: inherit; font-size: small; font-style: inherit; height: 1em; margin: 0px; padding: 0.2em 2px; vertical-align: baseline;" width="90"><div style="border: 0px; font-family: inherit; font-size: 13px; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">
71</div>
</td><td style="border-bottom-color: rgb(243, 238, 243); border-bottom-style: dotted; border-image: initial; border-left-color: initial; border-left-style: initial; border-right-color: initial; border-right-style: initial; border-top-color: initial; border-top-style: initial; border-width: 0px 0px 1px; font-family: inherit; font-size: small; font-style: inherit; height: 1em; margin: 0px; padding: 0.2em 2px; vertical-align: baseline;" width="90"><div style="border: 0px; font-family: inherit; font-size: 13px; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">
76</div>
</td><td style="border-bottom-color: rgb(243, 238, 243); border-bottom-style: dotted; border-image: initial; border-left-color: initial; border-left-style: initial; border-right-color: initial; border-right-style: initial; border-top-color: initial; border-top-style: initial; border-width: 0px 0px 1px; font-family: inherit; font-size: small; font-style: inherit; height: 1em; margin: 0px; padding: 0.2em 2px; vertical-align: baseline;" width="90"><div style="border: 0px; font-family: inherit; font-size: 13px; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">
81 (см)</div>
</td></tr>
</tbody></table>
<br />
Набрать 480 - 504 - 528 - 552 - 576 п.<br />
<b>Ряд 1</b>—* 4 лиц.п., 4 изн.п.; повторять от * по кругу до общей высоты 11 дюймов (28 см).<br />
<b>Первый ряд с убавками</b>— Убавить 1 п в центре второй и каждой четной секции изнаночных петель резинки.
<br />
<b>Следующий ряд</b>—* 4 лиц.п., 4 изн.п., 4 лиц.п., 3 изн.п.; повторять от *, закончить 4 лиц.п. Вяжите по этому рисунку 2 дюйма (5 см).<br />
<b>Второй ряд с убавками</b>— Убавить 1 п. в центре первой и каждой нечетной секции изнаночных петель резинки. Вяжите резинкой 4х3 в течение 2-х дюймов (5 см).<br />
<b>Третий ряд с убавками</b>— Убавить 1 п в центре второй и каждой четной секции лицевых петель резинки.
<br />
<b>Следующий ряд</b>—* 4 лиц.п., 3 изн.п., 3 лиц.п., 3 изн.п.; повторять от *, закончить 4 лиц.п. Вяжите по этому рисунку 2 дюйма (5 см).<br />
<b>Четвертый ряд с убавками</b>— Убавить 1 п. в центре первой и каждой нечетной секции лицевых петель резинки. Вяжите резинкой 3х3 в течение 2-х дюймов (5 см).
<br />
<b>Пятый ряд с убавками</b>— Вяжите так же как первый ряд с убавками. Вяжите далее до общей длины 22 дюйма (56 см) или пока не останется 8 дюймов (20 см) до желаемой общей длины.
<br />
<b>Шестой ряд с убавками</b> - так же как второй ряд с убавками.<br />
Продолжайте убавки еще два раза через каждые 2 дюйма (5 см) так же как третий и четвертый ряд с убавками. Вяжите еще резинкой 2х2 2 дюйма (5 см) до тех пор, пока не достигнете общей длины 29 дюймов (73.5 см) или пока не останется 1 дюйм (2.5 см) до желаемой общей длины.<br />
Общее количество петель в итоге 200 - 212 - 224 - 240 - 256.<br />
<b>ЗАВЕРШЕНИЕ</b>. Сделайте пояс и вденьте резинку при необходимости. Заблокируйте по нужному размеру.<br />
=== Итак, в юбочке 8 ярусов убавлений, все распределены равномерно кроме самого нижнего: 28-5-5-5-5-5-5-5-5-5-2.5 см. ===<br />
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<h2 style="background-color: #f9f8fa; border: 0px; clear: none; color: #515d52; font-family: Georgia, "Times New Roman", Times, serif; font-size: 24px; font-weight: inherit; margin: 0px; padding: 0.5em 0px 0px; vertical-align: baseline;">
Wide Ribbed Skirt Pattern</h2>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjTB__wZbBUXlF1NtAA_mk1tJ8iF_RiKT98jwc7jxG6qw8fwffHCb-I4fCiSFtZGonZTFT2Z1C9zpQcUgX6xo0av2gAaZcvXObcnJGlCMAGN6GavNcVMX0EMrSkwW54anh2KNhs8xLgs_E/s1600/bernhard341_nosk1.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="300" data-original-width="170" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjTB__wZbBUXlF1NtAA_mk1tJ8iF_RiKT98jwc7jxG6qw8fwffHCb-I4fCiSFtZGonZTFT2Z1C9zpQcUgX6xo0av2gAaZcvXObcnJGlCMAGN6GavNcVMX0EMrSkwW54anh2KNhs8xLgs_E/s1600/bernhard341_nosk1.jpg" /></a></div>
<b>Длина</b> 30 дюймов (около 76 см). Плотность около 32 п. в 10 см. Юбочка вяжется снизу вверх (с убавлениями). Для изменения длины добавьте или вычтите необходимое количество убавок, равномерно разделенных до первого и между следующими 3 рядами убавок.</div>
<br />
<b>Размеры</b>: 12-14-16-18-20
<br />
<br />
Набрать 432 - 464 - 480 - 496 - 528 п.<br />
<b>Ряд 1</b>—* 8 лиц.п., 8 изн.п.; повторить от * по кругу. Вяжите так в течение 4-х дюймов (10 см.).<br />
<b>Первый ряд с убавками</b>— Убавьте 1 п. в центре каждой секции лицевых петель. Вяжите по узору резинки 7*8 в течение 5 дюймов (13 см).<br />
<b>Второй ряд с убавками</b>— Убавьте 1 п. в центре каждой секции изнаночных петель. Вяжите по узору резинки 7*7 в течение 5 дюймов (13 см).<br />
Убавьте попеременно то в секции лицевых, то в секции изнаночных петель, как в первом и втором рядах с убавками, каждые 5 дюймов (13 см) два раза.<br />
Вяжите до общей длины 22 дюйма (56 см) или до тех пор пока не останется 8 дюймов (20 см) до общей желаемой длины.<br />
<b>Линия бедер - линия убавок</b>— убавьте по алгоритму выше (будет резинка 5*6). Вяжите 2 дюйма (5 см) прямо. Выполните ряд с убавками (5*5). Продолжайте выполнять убавки через каждые 1.5 дюйма (4 см) еще два раза (4*4).<br />
<b>Финальный ряд с убавками</b>— убавьте по 1 п. в центре секций лицевых петель, распределите эти убавки равномерно (16 - 20 - 16 - 8 - 8 раз). Дальше вяжите прямо до достижения общей длины в 29 дюймов (74 см) или за 1 дюйм (2.5 см) до желаемой длины.<br />
Общее количество петель в итоге 200 - 212 - 224 - 240 - 256.<br />
<b>ЗАВЕРШЕНИЕ</b>. Сделайте пояс и вденьте резинку при необходимости. Заблокируйте по нужному размеру.<br />
=== Итак, в юбочке 9 ярусов убавлений, и вот такое их распределение по высоте: 10-13-13-13-7-5-4-4-4-3 см. При этом клешение в ней меньше (432->200 а в первой юбочке 480->200). Можно рассчитать юбочку с сохранением клешения, и я бы перераспределила ярусы убавок ===</div>
desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com5tag:blogger.com,1999:blog-9035988071494171190.post-44722109342638702522017-06-26T06:36:00.000-07:002018-01-14T02:20:17.002-08:00Коническая юбка - общие формулы<div dir="ltr" style="text-align: left;" trbidi="on">
Друзья, хочу оформить общие формулы по юбочке конической формы и задачи, с которыми сталкиваюсь.<br />
<br />
<div align="center" style="line-height: 100%; margin-bottom: 0.21cm; margin-top: 0.42cm; page-break-after: avoid;">
<span style="font-family: "liberation sans" , sans-serif;"><span style="font-size: x-large;"><b>Исследование
юбки конической формы и построение
общих формул для разных задач</b></span></span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<br /></div>
<div style="font-weight: normal; line-height: 100%; margin-bottom: 0cm;">
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" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><br /></a>Итак, о юбочке мы знаем только:</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<b>ОТ — обхват
талии (см)</b></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<b>H — желаемая
длина (см)</b></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<b>K — клешение:
</b>
</div>
<table cellpadding="4" cellspacing="0" style="width: 100%px;">
<colgroup><col width="85*"></col>
<col width="85*"></col>
<col width="85*"></col>
</colgroup><tbody>
<tr valign="top">
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: none; border-top: 1px solid #000000; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0cm; padding-top: 0.1cm;" width="33%"><div align="center" style="margin-bottom: 0cm;">
<b>Cолнце</b></div>
<div align="center">
<a 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width="228" /></a>
</div>
</td>
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: none; border-top: 1px solid #000000; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0cm; padding-top: 0.1cm;" width="33%"><div align="center" style="margin-bottom: 0cm;">
<b>Полусолнце</b></div>
<div align="center">
<img align="left" border="0" height="148" name="Изображение2" 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" width="238" />
</div>
</td>
<td style="border: 1px solid #000000; padding: 0.1cm;" width="33%"><div align="center" style="margin-bottom: 0cm;">
<b>Колокол</b></div>
<div align="center">
<a 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imageanchor="1" style="clear: right; margin-bottom: 1em; margin-left: 1em;"><img align="left" border="0" height="153" name="Изображение3" 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" width="243" /></a></div>
</td>
</tr>
<tr valign="top">
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: none; border-top: none; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0cm; padding-top: 0cm;" width="33%"><div align="center">
<b>K=1</b></div>
</td>
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: none; border-top: none; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0cm; padding-top: 0cm;" width="33%"><div align="center">
<b>K=1/2</b></div>
</td>
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: 1px solid #000000; border-top: none; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0.1cm; padding-top: 0cm;" width="33%"><div align="center">
<b>K=1/4</b></div>
</td>
</tr>
</tbody></table>
<div style="line-height: 100%; margin-bottom: 0cm;">
<br /></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<br /></div>
<div style="font-style: normal; font-weight: normal; line-height: 100%; margin-bottom: 0cm;">
Вяжем юбку снизу вверх, выполняя убавления
на определенной высоте. Потребуется
два параметра:</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<br /></div>
<table cellpadding="4" cellspacing="0" style="width: 750px;">
<colgroup><col width="271"></col>
<col width="461"></col>
</colgroup><tbody>
<tr>
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: none; border-top: 1px solid #000000; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0cm; padding-top: 0.1cm;" valign="top" width="271">Радиус талии</td>
<td style="border: 1px solid #000000; padding: 0.1cm;" width="461"><div align="center">
<img height="44" hspace="9" name="Объект7" src="data:image/png;base64,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" width="77" />
</div>
</td>
</tr>
<tr>
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: none; border-top: none; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0cm; padding-top: 0cm;" valign="top" width="271">Радиус юбки</td>
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: 1px solid #000000; border-top: none; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0.1cm; padding-top: 0cm;" width="461"><div align="center">
<img height="21" hspace="9" name="Объект13" src="data:image/png;base64,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" width="76" />
</div>
</td>
</tr>
</tbody></table>
<div style="font-style: normal; font-weight: normal;">
<br />
<br /></div>
<div style="font-style: normal; font-weight: normal; line-height: 100%; margin-bottom: 0cm;">
Далее рассмотрим разные задачи и их решение.<br />
<div>
<br /></div>
</div>
<h2 class="western">
</h2>
<h2 class="western">
Ширина юбки на определенной
высоте</h2>
Если мы провязали Z см, и, к примеру,
узор подошел к концу и можно сделать
убавление — сколько см должна быть ее
ширина? (этот вариант работает без
параметров <b>N</b> и <b>M</b>)<br />
<table cellpadding="4" cellspacing="0" style="width: 746px;">
<colgroup><col width="267"></col>
<col width="461"></col>
</colgroup><tbody>
<tr>
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: none; border-top: 1px solid #000000; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0cm; padding-top: 0.1cm;" valign="top" width="267"><span style="font-weight: normal;">Ширина</span><span style="font-weight: normal;">
яруса на высоте юбки </span><span style="font-weight: normal;">Z</span><span style="font-weight: normal;">
</span><span style="font-weight: normal;">(см)</span><span style="font-weight: normal;">
</span>
</td>
<td style="border: 1px solid #000000; padding: 0.1cm;" width="461"><div align="center">
<img height="23" hspace="9" name="Объект17" src="data:image/png;base64,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" width="106" />
</div>
</td>
</tr>
</tbody></table>
<div style="font-style: normal; font-weight: normal;">
<br />
<br /></div>
<div style="font-style: normal; font-weight: normal;">
Пользуясь
этой формулой, можно вязать юбочку «от
узора к узору» располагая ярусы и узоры
по своему желанию.</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<b>А можно
распределить несколько ярусов, выполняя
в них одинаковые убавления N→M.</b></div>
<h2 class="western">
</h2>
<h2 class="western">
Общий способ убавлений N->M
</h2>
Итак, если мы хотим в каждом нижнем
ярусе длину <b>N </b><span style="font-weight: normal;">(петель,
или см)</span>, а в ярусе над ним <b>M </b><span style="font-weight: normal;">(петель,
или см)</span>, то есть хотим выполнить
убавление <b>N->M </b><span style="font-weight: normal;">то
будем использовать следующие формулы:</span><br />
<span style="font-weight: normal;"><br /></span>
<br />
<table cellpadding="4" cellspacing="0" style="width: 750px;">
<colgroup><col width="271"></col>
<col width="461"></col>
</colgroup><tbody>
<tr valign="top">
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: none; border-top: 1px solid #000000; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0cm; padding-top: 0.1cm;" width="271">Сколько ярусов нужно сделать при
убавлении <b>N->M</b></td>
<td style="border: 1px solid #000000; padding: 0.1cm;" width="461"><div align="center">
<img height="51" hspace="9" name="Объект16" src="data:image/png;base64,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" width="103" />
</div>
<div align="center">
ближайшее целочисленное <b>n</b>,
удовлетворяющее неравенству</div>
</td>
</tr>
<tr valign="top">
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: none; border-top: none; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0cm; padding-top: 0cm;" width="271">На какой высоте (см) проходит ярус
<b>k, k=1..n</b></td>
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: 1px solid #000000; border-top: none; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0.1cm; padding-top: 0cm;" width="461"><div align="center">
<img height="55" hspace="9" name="Объект14" src="data:image/png;base64,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" width="105" />
</div>
</td>
</tr>
</tbody></table>
<br />
<br />
<h2 class="western">
Оптимальная длина юбки
(математически)</h2>
Оптимальной назовем длину, для которой
при выбранном виде убавления <b>N->M</b>
верхний ярус юбки будет сходиться ровно
на талии.<br />
<table cellpadding="4" cellspacing="0" style="width: 746px;">
<colgroup><col width="267"></col>
<col width="461"></col>
</colgroup><tbody>
<tr>
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: none; border-top: 1px solid #000000; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0cm; padding-top: 0.1cm;" valign="top" width="267">Оптимальная длина юбки выбранного
клешения (см)</td>
<td style="border: 1px solid #000000; padding: 0.1cm;" width="461"><div align="center">
<img height="54" hspace="9" name="Объект15" src="data:image/png;base64,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" width="100" />
</div>
</td>
</tr>
</tbody></table>
//не знаю нужна ли эта задача кому-нибудь.<br />
<h2 class="western">
</h2>
<h2 class="western">
Расчет кружева на ярусную
юбку</h2>
Предполагаем кружево с разным
количеством отверстий сверху (<b>M</b>) и
снизу (<b>N</b>) и его ввязывание дает нам
убавление <b>N->M , </b><b>N>M</b>.<br />
Если мы начинаем вязать юбку от кружева,
то по низу нам потребуется
<img height="21" hspace="9" name="Объект11" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEAAAAAVCAIAAAB5SH/NAAAFkklEQVR4nGP5//8/w1AGLAPtAErBqAcGGmDxwLfP7+7dufvg6bNv376KS6mbmRlysjGRZ/q/n5+u3XrEwIgQ+fufQUJaXlyIl6Dif/+Y1XU12RkZXj25/+rDV4iYuIyKqAAXfg/8ijUX3vNWPtDfS5Dz/4YV0Z/Z1CfPXh3poUuGB368u7d08ZLNa+Zfvf9O1dJZTYTj6vnTD568svGO6Zs80VRRCJdi5+Bkc037Bj1NoPjJvYv8Ehr45DTjQ3x8I4tcTQh4gIGJhWHD0UuOKnxAdmNFhr6UQVR8uNOja+LsJHuAS9KgvUvzxtbeqwx8azbt0BNh+f/3x7zO4pTqaZE/OG7umc2MQ3HfjOl6IqxAwW9vH8ydulrdyHLz1l2qEjyYVmB6gNk9tNlEkQ/C4ZPU9w7Um7r+0pUnn8SV+Uj2ATDWvz4+do2BQchEXghkFyMzR3JJ1YTqaVf2nnrzm0GcFZdikMTTa1u9/JK4DDJPLq3nZ2fEaj4WD6TU1iDzIdUENzvCqq8fX127eusvE8u3Hz94uXg4ONlZWNj+/f5S1bZ07Yo+NBPfP7z1ioFB3UKND5aP/v/9+w5sEaZrIIo1LFSAineumZkUmhHTt7StMAqLUtweQAPfH1++xCBkpiLGAeG/vLjeyCDoGTaleiH1mJn95sF9QNJITQMegOsXzgBqVw+wFGXFpVh3UVd+QvmkGevPpwcY4HcfAQ/c3bd48x2GmOoMETaoA9YsWVs4f0+8PWdo05pNE+u+PN4rrROiEZq+rbNSWl4e0wOnbz0FkrxMws+ePfv6/vmSab1N05bLaBivnNSOXTE/w7IJucvA3D9/8LuOkAf+fH0Rnd+kauQ5sTYBLpjSNJuNk/PPm4t8nBx8fAIc4kpAQVURIUVFeWxm/L92+yyQOnxgUuDB9lNngQlcvHX6ouz4SH5OTKvBij8yGFikpwVyZ5X35RQnBHueleDGk4Jwe+Dv9zexzi7vWOX379sghJSB2Dk5geTnV4/YmBEhyMsphd2U/x9vnbgNdPSWQyeVuH+EaiqtufFCRNkGm+sRilfunKbG8/3Asg2rLl7MKZm9ZnoGyR749elZoKvbMyaLI4dniHFjUfPp7QMxfiM4l58Duwd+vnlw4C0wV1pJcwODgDOnKGVNWkv/tN5U1ymYZQpUsaqFHCi/c09c0LrKMHLtjNp12SFBOiIkeODT8xuu7p4sFplHp5VxYci/fflaSFz06OlrHOKGCA//+QUkZ7RNTq7KRc6ZL24cBZLWhgqQKsQmOlWluOXGhiXHH3VZyaHURwjFxkqQ4kLCIKI3eUHx3J1l8bmeZ5dzEumB76+u2dra/pSz6fPT2rdjC0z4j6i8kbmuHJBVlxHnlpneNWVJ6pxyIJeZlQtYnb76fJmBwe/Y/WtokX3z1A0gqSVvCuEyc8nlxQfnTVk7uXex1cR0BmyKNWCKgSCnZ8rszao3zq3omhtZn+xHlAe+PLt66e47hrubvPdvQhZPr1oF8YCOskiAeyCDpE6oJSjXMvPLu+spLF+7Nv3zOS6zJLj6v1+f1TZP2LEZZMiZ0xsrq1/UNBdyMzHEFeYAPbBifocI892E4gZjaVA8fH1+qWXC4p1bQIrPndlYXvm8trWIh4mBTUClo6M2IKm5oazw7Y2j5fVt0jzoGRrdA0IarpcuXmbEKOGExKGFTFrLJG2vZHEVHXFOSDLmmH/4RMyRs1xcwrYO5nD1TGx8UVFxUTFxMD47J9hMfiW729cu//gLrHUZZIWhjRM2Xtmo6Pjo2HgIF9iMg6dD//iqa8ahf5kY//1jFOLEUhyhe4CZQ0BXTwBTHZICQTsnB2QRdj5xLy8vNGWMrDw6ejrYDGBS0UQXZ+UR1NUTxG4fE4emHr525HDsDwwtAAABvBQAc0bPPAAAAABJRU5ErkJggg==" width="64" />
см
кружева.<br />
Тогда на второй ярус потребуется
<img height="44" hspace="9" name="Объект12" src="data:image/png;base64,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" width="88" />
см
кружева, на третий
<img height="49" hspace="9" name="Объект18" src="data:image/png;base64,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" width="107" />
и
т. д.<br />
Т.е. всего получится
<img height="49" hspace="9" name="Объект19" src="data:image/png;base64,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" width="406" />
или
по формуле суммы геометрической
прогрессии<br />
<table cellpadding="4" cellspacing="0" style="width: 746px;">
<colgroup><col width="267"></col>
<col width="461"></col>
</colgroup><tbody>
<tr>
<td style="border-bottom: 1px solid #000000; border-left: 1px solid #000000; border-right: none; border-top: 1px solid #000000; padding-bottom: 0.1cm; padding-left: 0.1cm; padding-right: 0cm; padding-top: 0.1cm;" valign="top" width="267">Общая ширина ярусов (для вычисления
количества кружева, см*)</td>
<td style="border: 1px solid #000000; padding: 0.1cm;" width="461"><div align="center">
<img height="51" hspace="9" name="Объект20" src="data:image/png;base64,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" width="171" />
</div>
</td>
</tr>
</tbody></table>
<div style="font-weight: normal;">
<br />
<br /></div>
<div style="font-weight: normal;">
* на самом деле, кружево
лучше считать по дырочкам, соответствующим
набираемым петлям, а для этого нужна
плотность и связанный образец с ввязанным
кружевом.</div>
<div style="font-weight: normal;">
В любом случае, расчет
очень приблизительный и не учитывает
вытягиваемость кружева под весом юбочки,
и также не учитывает припуски на швы.
</div>
<h2 class="western">
</h2>
<h2 class="western">
Оценка расхода пряжи на
ярусную юбку</h2>
Для оценки необходимо извязать один
моток и примерно оценить на сколько
петель его хватает :)<br />
Дальше посчитать количество петель
во всех ярусах по плотности и сложить
их.<br />
<h2 class="western">
</h2>
<h2 class="western">
Оценка времени работы</h2>
Для этой оценки нужно связать один
ряд и засечь время. Количество рядов
одного яруса известно, в последующем
ярусе ряд будет вязаться быстрее в <b>N/M</b>
раз.<br />
<h2 class="western">
</h2>
<h2 class="western">
Определение способа убавления
N->M в конической юбке по заданному
количеству ярусов</h2>
Если мы хотим задать в юбке (OT, H, K)
желаемое количество ярусов, какое
убавление в ней нужно делать?<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
Выразим N/M
из соотношения:</div>
<div align="center" style="line-height: 100%; margin-bottom: 0cm;">
<img height="51" hspace="9" name="Объект1" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIAAAAAzCAIAAADQApdHAAAOP0lEQVR4nO1cB1xTVxe/SdiQQBJIiEnYEIgkKIKCIoiTgoLiwgJaGXVSioqr4ih+WgeiKLhFxQ1VK7Vu6gBB5BMBmTFQhixlIzPjewFkJC8sSxn9/r/8TvLOHe+++3/vnHvPOyDB5/PB/zF4kBjsAQwIOLXsK7fqlroyBnsgAHArrlx99q3LXHHlI5OAX88EVNHXD/YoWoCQuHAmdPaSuRgUfPlIJIDfcC087+xT7cEeRwuQaKfxymGP2Gts4MczAgkoT3/IYUzCSQ72OL7A0WOR077Ta2x+gS0dgQTcvnBr0qyNgz2KDijqmHHid1dwARbOCo08Argxb2J/9NUZiK55jdVpWXkA8eWQh6IxDKQRoCQ/+2NVXXs1DJ6kRsJ3NEMqGplIxKZV2DKwon2ONAL4DYUPk3SD8ANigBrKcy6HhUVGhKbmlNsscjcea7WLaQDpkxOjr4UFn4uIx1AMljvNnv6NZxcCAJhFN7z3+K0tw1q0z5FGQAU7hTxFSx7Rc81+QI5ktHc/Le1OQCrAHzpx0uCLTZlhv1RdqhIiwNzG/vABGFuvZ6Z3JOwBAP8CAtKfRWlTdPvdPPXuYUffU5sCf3ebpQVbgVebH5cJAHYcRbGLRX/zNBmSurrTYFsRdCfEpR7jAiDqBUYaAQnvPxA15wprudUbN/tDO/5RzMkr55gc3OEfm5Vt77xvpcsYoYr8htKs9HR2ea24/suzM0sBMLLQQSO76OMLWZCkjafBtpJVplJfsiq5AC/CwEgj4H3ee5qDurAWhV6/yp6pbSnPfHtpT6q8ltXH5IcKfufE9sIRW5IZ8xSShnoGXdVNecmJ0NckA1X4ZhJ4LUbcX5+a8EQp4RKxpxqWaCrOSphHUhTRI+QRnFKgCJIfr70Yuc519rUQ+jg6sa2Q38TKYLfMOTKZ9Qn6Ki/Lz0iXhJ4YPkDpGuh1dugJWR8E8lGEm9sbHo/X1jui8VFSDcBZaikLz+8XSJF0mOy88nFEYYZGFgHcypwUoKQoLVqSl/oKgCr3Xy5Dsw8dOq3269Sq3JFOf9ep8gmf2SfaftKLm1KJHQzw01gCW7/kBx8LDYV2beabR+cB0DGhiYs3QJDHkd6ySxaZjmgCuLUV+YBJxsEQ8OIF5DqBk4MdTDOEvNuWLR9bfpa9f3oqPHaig6cVXblFoSLX2dbzqt/HpQFAXOo0R1O+owCTdR+SxjR6N4svCVmZipRc4GQkrO/NhQ0XNDfUlAIpBNw0ZHyACDDQU8fAlKHQPnv2tP589+tWiIApi9f+ZwkTpv/ynKgyAPQtyPJdXPBrdiEkKVom3YzNVIkU/jlPVD+iCKguygOj1ZRgrqkhOyEWY+REku3dBkGMEy7MjIHkpHFqQpY+NScVkpMt9brpUgIBPjcWweh7NaA+4uJBn9CIyKev2Kt+igzZPXsgTgGL0twEvLwMUkTPqy2AFu/GLuQe98fceoHkN8O/pGLFZUGSTjXvouXXZkUnQXaJrqPcTc8aRtjcS1Wi+gEhYOmGQLtZ1spMB2iBMRD9iwUHjCLAPAAVf6VBi3cHijlMk66gOWzMzvZUwgu7ys9FybsPhz38/Q70O+H1r1v3NvlvcYY8buTlQ09iU+Kh3gH3wLaNi1w3zBBxs+2obeBAxAo9gwNlgvi8Aeq4P1BQn5iclKRCht/cdoYMWkkTrSSql1akfuu8zNl1WeshUkahdb1jbDFH02imx8rWlz88ZZKCaNt2vM8pge5HoRXC30BA4+fyaxfOBAT9+SjlHvHvCII111VdOL1/ist2HTzMeqYbcDnwpkMarcxgdmcfeoSEHJbBhIllktV1yb3rQVXHDHAyRV2QMAG8uoJN2w9Dz4mB+fT5k3R3+e9Jz8zDUvQCjh4hKQhXLmInHQwMuhR2rrQaOjKBXX60I+G3S0cuRXwo+4xCSo+2tN2xYQVWrm3ZXF6UvmdvYBorl4+UUiHiXz64iVZ3XrBS3KZGLHLeVUJ3Z19bDS6E5xQpS/JeNo3KtDUwfn6gONti/ndq+LxT50PwVPujP89qrcPnNsbcvBF8/sS1P15ChxRdQ/+d3t+7OxPEP07Xg9Y5eQd+vyP4itdi9pPfXDzcb0dciI+LJcgh68vSzBmjm8lm18PDNWTr3BbOZxfWnL65XUm6zyFNiYEJgg4oROYMgQJ15QCDSS+qffEk1cKAWJZ089T1xxzuZ0EpvyE0YNv+kCsZOYIV1ezF7q6rf3C0YEp0e9s1VbG2eAeqT3ML2bkauudVF7mFViRZrwz6+eyjY16z3l45l1UGNv4cZKpHgSqHBK7+feLqhDuxHhMcB+aShxZgbtrMV69BdfWBkJfQ7EOHZUUFkMTSW94xcSuDfAMyABg/3fH65VANAty+RgRlrNc5AHiY2rRv1M0cnMHKoNSEJwDMKiwWUEvVw7UWySoIjCqiv85JBS8rpEF0bxkHEr3JuYK5zidZ0HRhZs5oi6q3RrqnjmsJMSLkLOZMfBv5Mv7xzalWlau9l7svXYSV68FYf8oVBFokkR2BEj63AZLVtQLJtNIHe0D882dguiBvIDH6ISTlNPvpM8urGvrXcLAgSgCvOD0W4EzUvwT24j+woF2GLqXlZkdhjt6J2cpOPhB4+HJwqO+qKN9NG75zdl7r7TOORhF7Dhnh8CRKGg3JZg4XkrrTPNZNvHDI372pMHGUbP3ZY2eN7Xy2L5vYtQX31dOoeqSkCpk2WpvESoz7UNXU2AwmT7WU6xr/El0IDfHUPxECuOUZrz/qT9LBtJn1xr9SngPGQpJCx4NM0mYeOnZuz979V84fP3jk5Pnjh6APfZpn7MNTGDhnQNQUxFU+1RS0a2pK8iGpTVESHKCkiBTp8Qu3uC+0aGwCy712GupRRKwGEidXpzdhruZMT9aDU1hV4pbVc1wCriD5ojubYQZhAuoKM2NrwGJ9g9bLglalMUlgsjNF1MrIoJXdvPzc1myKu3U96MKJq5ExdVwgTEBLLzh9yzk0bPitc4W7V43CQDsFbujB45DewWkFJGPP7d50I85qhU0zQElKgcKc1MJc9nhzM6xC500AAivDt5u7/PXtG9HZh6y0iPUonW8mMoW2CfJESNH8dRPyT0OYgILE/0KSTDJtPazKTYe22bjM+LMR990X2MB0gJQym+8KfQ7mFSh/2YXdizh9/54gQhv7JGwniee3ZkFw+MUcBzcLc/NvF9gVpv0RGpHgte+862Q1qI6OmYk2Hjw7ufPZyU7d4rR++zPOnqnSrsiMjh7rslEDEX3q6JXJ/tYSVC3RTZqKqhw05H7PxYCitroAVi9MAGWyU3LKFBK17d2mghq0iU9BIIEspgevOEqtwweMNbWm6pt7+uxqOYMs9FRQGbMT095H3bvxLqcaN9kzK/CBLqVt2aNAGK0ySnXxNn+78fRWzZuoa15+Ry+fC7U/3JFfFZuVa21DJnHX0r3O7/qOgFcbGpmHvUZNaQEGLdXzTlgOS2BgCe2HkvI4BhPX15OpquuIRqQkZDAz53nMFNH7+XqmSU99/qNHexRj4ljVrX5HudzqTrX4mVkIFwpalepqtd57pe8u27VXRc87lOJPwoCmXl1NWTRSM/jvAxqrK0AFupEDJFvHwm06e2hfDQB28zw6KvGrPgEZFYEjwrouXuoRcNHvBMyiCzuKmsLKbBQJeA0FVJc0SkvDLFEGnwCflVsfeqyh6enbzpyG4tdHPbhfzpULvnx3+VSN1gq8xqq74cFJtbWp7CKmNmnJutU+Ack0KkzcEUPUARV3OEOSgNKiOrIyjC0ZfAK0ZizIyHbIZbMKP1UiEKgNm3erq5EkUR3WEoFEaTLs74Q4KMgIHgG5UaZvMiJgw64CR1VaWNsM5L8mKNvrJKI+oaSxAYc2FNUPPgFAEH+S1NCja4h5o4eQVDA06vy3LkgdGrwHllIkMUBJbQOPKPkVMdG+JhH1Dvn1FWgqQVQ/JAj42yChoEYoqarjAHSfQ9md0G0SUX9R86lYwRLmZdlQJ6CXobS2eANClmComlNUY0zE99SiO3SXRNRP8GpK86bSYFgc6gT0EShlTUYiu3T+mK8ioLskov6BV/fh3WcdyjD8+4C+htKsVXX/SGSD+QY9VxWP7pKI+gVefck7jglFCSZxbqgTIAC/KebJM66EJFl3jDZZqVVXlJOemVvSjJCdajWh82Xpz6Adv/oSgK/JheljElEvUFucp2ROg41UDgcCIK/YlDl2hpfnphunflkoUHAql9tOe1CiFvvsolBVsqF1ekbg18RIe59E1Hvkp8aN1YdPXBwOBCAksWhpPAaflB0DgICA8BD/BxlFxvMczRjCS1cpnDatJK2MA5T7e2W9TyLqPZ5FpzOsf4ItGg4EAMB69W7Fvp17dkTW8IFkeUbwjVxPZ+s6oj5MVYScoSU+4X2ljb5S/87V+ySiXoOXmJLkvRG+w+FBwCMWa/GWNWdWbWN/bLy/yctty8m7fkYatgGwlZfZzwi5HW2zuZ9u4OuTiITAq89LrjHWhwnECTAsCOAW5UtpUTUsTbgXLh14Wj/htTXCN7E2zBj+nqJNdUw5upu/efYQeVWWFXXbZO5McRM9HAhoLi3mEhRRUloMs/3rzyQVpdbkvygFRBoFfpmIlFUbT65JyK83pQpnSAwG+CGX/vQ8ckNc8VAngFtfEXnmdH5lcVpOyXSKwce9y8ncguDgkwCHS36Xrm5Gh2213svu8I100/XG//BoYcAprpHUHkMQG58d6gQABErbcl64taO8FMr8h58mYAj8ykKH7/3nrkBIyIrNhCWOcdqs+c8mZosDCnsgYFc35UOdAJQMhmHU9d/+EMgMQo8ZsRKKikPj0hAyyioy3ZQPjVH+i/E/F6oOnPwccFEAAAAASUVORK5CYII=" width="128" />
</div>
<div align="center" style="line-height: 100%; margin-bottom: 0cm;">
<img height="49" hspace="9" name="Объект2" src="data:image/png;base64,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" width="106" />
</div>
<div align="center" style="line-height: 100%; margin-bottom: 0cm;">
<img height="49" hspace="9" name="Объект3" src="data:image/png;base64,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" width="107" />
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<td bgcolor="#ffff99" style="border: 1px solid #000000; padding: 0.1cm;" valign="top" width="100%"><div style="margin-bottom: 0cm;">
<b>Пример </b><b>1.</b> OT=75
H=70 клешение полусолнце, а количество
ярусов хотим сделать 10,
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<div style="margin-bottom: 0cm;">
значит
<img height="35" hspace="9" name="Объект4" src="data:image/png;base64,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" width="101" />
</div>
<div align="center" style="margin-bottom: 0cm;">
<img height="51" hspace="9" name="Объект5" src="data:image/png;base64,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" width="261" />
</div>
<div style="margin-bottom: 0cm;">
<br /></div>
<div style="margin-bottom: 0cm;">
Дальше надо найти
целые <b>N</b> и <b>M</b> чтобы их деление
было близко к 1,1467</div>
<ul>
<li>
<div style="margin-bottom: 0cm;">
<u>Методом перебора</u>:
9/8=1,125, 8/7=1,1428, 7/6=1,1666, 6/5=1,2 — ясно что
ближе всех 8/7 а значит убавление будет
8->7.</div>
</li>
<li>
<div style="margin-bottom: 0cm;">
<u>Предположим,
что </u><u><b>N=M+1</b></u>, тогда
</div>
<img height="44" hspace="9" name="Объект8" src="data:image/png;base64,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" width="119" />
и
если отсюда выразить <b>M</b>,
<img height="44" hspace="9" name="Объект9" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIgAAAAsCAIAAAAxVWf9AAANUklEQVR4nO1aCTxU2x8/jH0f+zD2fU2lFJVsLUqGsm8PT/a8VOpJ6Ym06fXEQyUVIYlQryIi2VtQGGtZopclSULG/O8YidsorTPe3/cznzP3/u7vnHvu+Z7l9/udQ4PH48EcKA805K7AHEhjjhgKxRwxFIrZTczwm57C+02aK1SpyF2T745ZS8zo8OVzEb5799TR6ww2pNKTuzrfHbOSmM66bPNNLkPCigNtr4EE9X9vuIBZSgygQZ+6USouwGKiTJc8QO7K/BjMSmJ4xGV4CP/D5K7ID8SsJOb/AXPEUCjmiKFQzBFDoZgjhkIxRwyFgjQxo0N91XUtYMxzY0HyiQrywBQGel40tr8genYMbFySwqgfWstpMPZ+GmpqcrybJN4Nvi4rKXze/YaZmUNYXEJKUoSGlPf77m1fXtaNgoc1bFx8awyM5UR4P9YhTcxgT9OF2LiM5JiqJz0aVt5340KmPh/xdtCKSqsGrCJujiZ6+hY/mZjnj26Fxt/qf91b1gwA/p67529IVmZdY09dVf6fWQ0YbqWddXHbQsurvkZLpqmyKD27rKxjUJUfHi1qLUvXNbYeYJKwMTGozD3t7elqEhBzcc8vMAZJE8OEUgk+LIe9FtIqBApyGiDnmmnS0+r0M1G3qwFgm7dyXfifR77r180ILILKFlb80JdsdvF4LxvlRrH8/JpMoLfhthXGXkDd627ecWZCo+JsNVCAxHDB+W1zq2vjqPi3SJmXAQB/RmOliL32TqZGejLsk/WmXWNG37QWVrOxoRn6Ogqf9IwocL7XHHnp6eMnyYtqAB0KknIfMox0YJTWLvPa/qutGQcT7ff42GnBwsmrxEli+JMR+/x9XwC2KwnBzOPthDhw/g4bBx1cD9ddmf8MyBjLElghqKnIqYPUmtyq9pkS87K57gVySaApv9+x87kVzxS0RIjypIgdWOqlbrpMfuGJaImlHzJQUbdiK3a42uzYudPR1sLLe4eSGN83fy95gb97+VxaURWvsJQhxlBaeMrn1BXn0Eupi3AR2hc/9Cw7vphLxVJVmHFCAS0hS6pMGkZWaJF5N/r+np3UsAKfIKY2L0dmkaiRlpjfMfA4qwKMETPYVeW7O3p/XF1J5DrodqW2xIcMCL78l+0XYkL+DE+MDguBfssMLJxtt5gZLaFFzKgZKA2FcYc27os3X695K+mIj5ez8jrzAP+ADYukiA15/JC388lSYm/tbXr0GAAdFUEwNICtr33R9YqenX+hiiyJlR/BaWm5vigqIya53HWTypvulmMp1wBK0XmVNExxWmLK6p7Nk1MTVVGDrh815wKwgVCbbe7MervsDLjPOtQDwCcvNGX0MXGgnLYedfIKfnA7OSzybExywt2MhJ1ichaeuwK32jJ8UyuRAQlpFy9k5OrKcULXbdgS312umMXSMkvWGRnpIfvKM+rljvGMz1S4YUI4NTsjSTzvjKiwImLoVV5xuYyKXvrNNGleRlixHmEXcioE3UzmB6uoDpTf6wbg0r1SYRZ4552OGHx1/X20ricTSnY5J8i/XdsPwKuyhN/PNxW3XB3pqs/vBmwqmigWUsOQmnaBjsUZHYuj7Q2ONqZXch6GeIfs8LBlGFt3qKhmwe4J8eSQpr5Lf9Ulw22pCFYu6QVL/4jK9Q94HHUusb4kl5aVNz5c/2ZWlaGewkSu1euN008fpaMhWO/J4T4mHke8/U5cPekztezRsF1rU4vpg8IjHUxXtdfkOG3e5mJmoFhYKDuVwmmIwb+qK67fGiQFEBzyy+Tz0wuau14HbPa12RekJsTSnH8XUpmnIPTR0jaOwf7ui2ejT4WFF3T0QrfaBtpMlONrzBg6GkKiOjuC9/i/flJ28+yfh3Z5mm/eu2f3Hnlhgld3NuCXWgkpwzFNalpCb2NgZiSyAmGjgzvK48i1OyXQUJrcSn2NeZ4hhfpOh33drKBb/uVmaacGhJY7/BF0JuEv98lvJ03MUNfT3G6+U2JcUBdXkl4IWci+rta5r5GNO62hp7UltVAqK7Ts44ytNWXHTpyIjYiFRihgFbC3cdq6fYoVMIuOsRXE/rMtMNbNbgEApjuDDxZfjnPx26twMkBNx0AJzXj6+qMndYpETTZ+wlrT2NaLH3d6ARUdvQAAHQzwCaq5PAtKRXg+rM08koTVpaKpGqZJmpjn2AIgpSbARuBfW1MZHAXpyemhFyu5GQjvzcbWQam8huKUPLhXm1cvPZVdA12ipRQPem7f7GCOZJ7Fm/HzrJwXC0ysyYglG+3KjSyrHxReu5LZM0pV8yBSlH289Wg45SyX88fnlHa+A7xETwE3MgQRhqCBzRQMjNxQOrlvUiEILiIL3czWmNpSrIaqBNGpFFHRgFJZbUcXU6UxwWgHthz6WwwZIZOBHyjKrtE2sHbw8DTVXUw7C+cuGIRkleAialp5VU3o95EurbPTlnhb39DTKYGuxtB9TdoVyE6zWaFLA4b8jDaktvQf+PuSoZqA4LwVkP+VlZ8+CIyJ1lD+5YtQqjxvEaxEODFvOioDj8fevJr+7yi3zy5frz37BVGyGqxcPpFHoK5wIykqM//ezYJOyP4+fXB3J8beUPd97Wm4r7c+R6Nn7LuMDt8vyc8rquBFi+mtXs3HzvRp9c+dVMI/uleAQErIS0wJDrU/rXlQUYMDtDy8KCl5OR52Zkj47Gn9y/4heAEIRgU5ia+2TFbY7AjDFnq4bWyp8BJkwZ0PCVNZYnY00A7genOyM6tfg4TEeEO17UyCqlHRQY6Ouxct7DNcp9TXgT1xOklZ1/zAditYgXBi6FiFLK3srGzsoOvRUSoOOmpo/b9Q/lBEHAlJlNS00fIaDs5eRGUkn9CkrLQzZ2X0bef65ZqlPVT2ppiC+BgbM6/EGzlmqyWn0f78SaXKtKh5GFcX38sRQcZECW6g08nOLCa50t7Vkn745T8ZaUrGHlcjDkAUb9GXTqn5qAghzGDLtxyDonEPyjB2qsrLu9fe032++NFKNcWx6Ykruaxota4eE914HA/j4KuLsc/KTn3SSi+lIF/iFaSqKPnx/AInhpYFqaSMhAlFxMcJEBSREgTfASd93K/f77ldV7NSCglwuzbOVzC3N9JqrORlhHfZmZxUGuzGWri5AjDZh8YfdjaJSX4c+0+J9VrCStuYGep15TnxGTUN8DuZtEyYbVwXQX3Y0ZjfSP/b10OUqIK5qAJMiB968/YV/QbHdRMSFk6UkYnbp4six37MSE9cwiVeLfsVUmM9AMHq4WiU8ltoXCbW21AOrvz5k0pDv1uZIsS1QPvtCVFv/U3fuLxVDoFEViCIadqFSPYTr7lFlzvbbEIzjPPYVZWU04Ks9LP9nt/4HtgbYTquUSFJeRhpeHf/NMhATHddQUE3wMihJsavgpYWAKF3s+K8DYNgyp89qZQa5Z/chso77yax8AMxt2JSoHT1BpMJCTU9u4w4MU5BF5F+Z1IB+IDA/Ructylx/xADUkZ3c1O9Gz3cOvs8yEBMf3crlKKQahMSpIAYlLZ3v/3SojqxaR4usX9Xl7MNF02W5zdVAoLdiO5+3lzf1DY4jJNSXCDITWJfoBt780RiR0GL45e+eoagoqH7OsLJQEzfizbCH35kQoIHhGDryNC7LyoHP9RjZbrFLCzUUI6nq2LKI2LwynKVPA7BJcuPbKotfdpOvS/qjP9mY1gZAX/sX27jqS5Ezr0ckiADMdO5/jjcl5UTsdvhObN2hvvG6RRirz3UlCTM7IO9bcsWK+9zdtZft3aR4IeQ1MuGzLOJhdFV177sxT8FZCAGKSBPUs7K/AXba9UZ0e4x2Jqah7Sjo6MEsgnjDz8GKioqosfNNua1QGDgQDsZYe4fjkm9U7/IQnmikOP79qMxrsbyHF/9LT8OZCCGiWMskN59D4DxiaWnpRFKeTg/42NOxt8xoaCnVo2PqW+SMDJ4U2Qwe2VXJxtKBID7jW2983nGNzoF6QlTPdWk4NWrhqzjFwrCSy5RZoyCDMRwSauv5AWljzugqYvYThV3CGaSht4XGKy6GCtWGf2J24HOutDoFOUl+vorldnpqG03aAWGpuTcKNk034CoMIQjDCl2xIdBeWz/QR4dR/PFZDnf83mQw49BcFiYmzqHpqZVHzaW5wEjvX+dSgFoJetVUmBqZGlSHvhJJYytD2bS466KdIgYDW3HYKLnv8JaSyYgKXqf/xZ9PmYEwL1JysgEQHKTphhRv+/JnfDzOcFZDRR7ro48Ffv1UHha4Qp7fc1CC0zDrfTrrTSJyakEtx/XPzmyBGZ8UgmPJ8S+8OC9/UDLkZh+TnuNtYaamonhmoasjORHI1GXTomzE0cMPtR/N6OCuY2OBKBUkIcYagbuayXlD0ryH1Q9Wbjw6OlVmtxsY8YSAh5ZmuFJJXYJncqKR5yoD7E7Xum15TXNpXm51S11Ao7+oZmrURzME08t/SJtWfgZKHg3lXxDmZpuwVKdBUvhYlhkaYYnlehYOZWUOWFCGnoW9VXr1UmoU4lLwyNalAbKmmO/OrL03wNlEfPVkaX/Hv4HeNXmQjCHcFgAAAAASUVORK5CYII=" width="136" />
То
есть взяв ближайшее целочисленное
<b>M</b>=7 и сделав убавление 8->7 получим
требуемую коническую форму за 10
подходов.<br />
</li>
</ul>
</td>
</tr>
</tbody></table>
<div style="line-height: 100%; margin-bottom: 0cm;">
<br /></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<br /></div>
<table cellpadding="4" cellspacing="0" style="width: 100%px;">
<colgroup><col width="256*"></col>
</colgroup><tbody>
<tr>
<td bgcolor="#ffff99" style="border: 1px solid #000000; padding: 0.1cm;" valign="top" width="100%"><div style="margin-bottom: 0cm;">
<b>Пример </b><b>2.</b> А вот
например с теми же параметрами но
количество ярусов в той же юбке хотим
сделать 4, как это повлияет на сценарий
убавлений?</div>
<div style="margin-bottom: 0cm;">
<br /></div>
<div align="center" style="margin-bottom: 0cm;">
<img height="51" hspace="9" name="Объект6" 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</div>
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<img height="44" hspace="9" name="Объект10" src="data:image/png;base64,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" width="146" />
</div>
Возьмем ближайшее М=3, а значит
убавление будет 4->3</td>
</tr>
</tbody></table>
<div style="line-height: 100%; margin-bottom: 0cm;">
<br /></div>
<h2 class="western">
</h2>
<h2 class="western">
Определение вида клешения
по трем параметрам</h2>
<div style="line-height: 100%; margin-bottom: 0cm;">
<div style="line-height: 100%; margin-bottom: 0cm;">
— верхний
обхват, нижний обхват и высота юбки.
Если нам нужно выполнить «сектор», нужно
прежде всего знать его клешение, чтобы
рассчитать убавки. Это может быть круглая
кокетка, кусочек круга, полукруглые
подрезы, боковое сужение модели, сужение
рукава, рюшки и т. д.</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<br /></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhAkMxYEnE_L7LBFJbyuWw6xxfObwnFnetzNaxKisnZUa7SCI1dHOEBrdO4S1joEtdnCeBdthGqjGVKpqPf1plpBi_iZdCRjtFsmcp7RHKpt5HJf5yOLSqW2dvuJFz58hWUpciMeOR4lEM/s1600/%25D1%2581%25D0%25B5%25D0%25BA%25D1%2582%25D0%25BE%25D1%2580+%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582+%25D0%25BA%25D0%25BB%25D0%25B5%25D1%2588%25D0%25B5%25D0%25BD%25D0%25B8%25D1%258F.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1524" data-original-width="1524" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhAkMxYEnE_L7LBFJbyuWw6xxfObwnFnetzNaxKisnZUa7SCI1dHOEBrdO4S1joEtdnCeBdthGqjGVKpqPf1plpBi_iZdCRjtFsmcp7RHKpt5HJf5yOLSqW2dvuJFz58hWUpciMeOR4lEM/s320/%25D1%2581%25D0%25B5%25D0%25BA%25D1%2582%25D0%25BE%25D1%2580+%25D1%2580%25D0%25B0%25D1%2581%25D1%2587%25D0%25B5%25D1%2582+%25D0%25BA%25D0%25BB%25D0%25B5%25D1%2588%25D0%25B5%25D0%25BD%25D0%25B8%25D1%258F.png" width="320" /></a></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://www.blogger.com/blogger.g?blogID=9035988071494171190" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"></a></div>
Обозначим
нижнюю длину дуги сектора L, верхнюю
длину дуги этого же сектора l, а высоту
H. Нам нужно понять, какую часть круга
занимает сектор, чтобы определить
клешение K.</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
Достроим
сектор до круга, радиус до дуги l обозначим
r, значит до дуги L радиус равен r+H.</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
И теперь
составим пропорции:</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<img height="46" hspace="9" name="Объект21" src="data:image/png;base64,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" width="172" />
выразим
одно из другого и получим клешение:</div>
<div align="center" style="line-height: 100%; margin-bottom: 0cm;">
<img height="44" hspace="9" name="Объект22" src="data:image/png;base64,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" width="85" />
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<div style="line-height: 100%; margin-bottom: 0cm;">
Если мы знаем
вид клешения — то мы можем найти способ
его связать, в рамках убавлений N->M на
определенной высоте, полученной по формулам выше.</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<br /></div>
</div>
<br />
//буду еще добавлять сюда информацию, пусть всё будет в одном месте.<br />
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<br /></div>
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desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com0tag:blogger.com,1999:blog-9035988071494171190.post-16660117640771711252017-05-25T02:03:00.000-07:002017-05-25T02:09:17.991-07:00Авантюра - вязание из готового комплекта пряжи<div dir="ltr" style="text-align: left;" trbidi="on">
Привет всем, мои хорошие!<br />
"Мои хорррррошие!" - как пишет в своем инстаграм Сергей Безруков))) и мне это очень нрррравится! :)<br />
<br />
Хочу немножко рассказать или точнее записать вязальные процессы.<br />
<br />
Я наверное уже писала, что у нас с сестрой тандем - я вяжу а она шьет. Интересно, что когда мы были маленькие, наш папа говорил - дети мои, выбирайте такую профессию, чтобы всегда дополнять друг друга, и тогда все в жизни вам будет нипочем, и будете держаться вместе, и делать одно дело. И подразумевал под этими словами, что типа я буду программистом а сестра будет разбираться в железяках))) Но, в общем, его слова оказались пророческими, - и мы, в каком-то смысле, действительно образовали тандем, нераздельный и всегда творчески наполненный.<br />
А тут в магазине "Трискеле" стали комплектовать лоты из пряжи и ткани, которые очень хорошо сочетаются. Вот <a href="https://triskeli.ru/collection/rasprodazha-pryazha-po-lotam">здесь</a> можно посмотреть, в разных ценах и конфигурациях.<br />
Долго выбирая, мы остановились на двух комплектах:<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://images4-b.ravelrycache.com/uploads/dezdemona/447129764/17596399_1853160021613736_5033788034114387968_n_medium.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="500" data-original-width="500" height="320" src="https://images4-b.ravelrycache.com/uploads/dezdemona/447129764/17596399_1853160021613736_5033788034114387968_n_medium.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Здесь плотный хлопок и 6 мотков разных цветов пряжи Alabama Katia</td></tr>
</tbody></table>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://scontent-waw1-1.cdninstagram.com/t51.2885-15/s480x480/e35/17817695_1019153371548234_2678608769931280384_n.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="480" data-original-width="480" height="320" src="https://scontent-waw1-1.cdninstagram.com/t51.2885-15/s480x480/e35/17817695_1019153371548234_2678608769931280384_n.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Здесь хлопок 3 мотка Katia Mississippi и по моточку синего и голубого Cable <br />
и еще дизайнерский хлопок-батист (вуаль)</td></tr>
</tbody></table>
Вот мы решили что голубой комплект будет мне, а красно-бело-бежевый - ей. Отправив ей ткани, я принялась за первый набор.<br />
<br />
Так как мотков всего 6, а на изделие надо 8, то стало ясно, что пряжи "в притык", а хотелось решить задачу полную, использовать весь комплект. Начала я с визуального распределения полос и образца, конечно:<br />
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<a href="https://images4-b.ravelrycache.com/uploads/dezdemona/447129749/17882917_1699404150360455_7173163853306396672_n_medium2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="640" data-original-width="640" height="320" src="https://images4-b.ravelrycache.com/uploads/dezdemona/447129749/17882917_1699404150360455_7173163853306396672_n_medium2.jpg" width="320" /></a></div>
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Реглан сверху вниз, вязала до тех пор пока не закончился белый:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhCoFfUtN_Ox6fugM0B0cNq-9u0aIHERnH6rQ1Yu6ObRZnx5ykrSURe2k1fPF53VG7WNcVPUokSTRVrQFG-rJzV6vRdv5U_LiWtx7k-n_SheDJq5JzSAp3OiojRp6SXNqpSlLwq0VT5mLU/s1600/IMG_9814.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1200" data-original-width="1600" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhCoFfUtN_Ox6fugM0B0cNq-9u0aIHERnH6rQ1Yu6ObRZnx5ykrSURe2k1fPF53VG7WNcVPUokSTRVrQFG-rJzV6vRdv5U_LiWtx7k-n_SheDJq5JzSAp3OiojRp6SXNqpSlLwq0VT5mLU/s320/IMG_9814.JPG" width="320" /></a></div>
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Серым закончила низ, остатки поделила наполовину (на рукава) - для этого перемотала мотки в клубки и отмотала от клубков такие же клубки.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjeNjallb8pO1WPXJBN7IwoF-PO7j4JwTgIITZcwJ6gwpYblFV68CH7cufgH8gs2Ay3m1FRn_XAPaKeJTw4HnF0-NVFlLk4vYrlzJzo8c_8MI8XLK0o_0Ke5rcyy0fxjNHfzIBp62Tj70I/s1600/IMG_9815.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1200" data-original-width="1600" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjeNjallb8pO1WPXJBN7IwoF-PO7j4JwTgIITZcwJ6gwpYblFV68CH7cufgH8gs2Ay3m1FRn_XAPaKeJTw4HnF0-NVFlLk4vYrlzJzo8c_8MI8XLK0o_0Ke5rcyy0fxjNHfzIBp62Tj70I/s400/IMG_9815.JPG" width="400" /></a></div>
Пуговицы очень странным образом подобрались в цвет, они висели на витрине простой забегаловки у нас на рынке одни-единственные, а все вы знаете, как трудно подобрать красный, чтобы был именно тот самый красный с малиново-коралловой ноткой, и это были именно те самые пуговки того самого цвета, короче мои-мои! Судьба!<br />
И вот - тадаааа!<br />
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<a href="https://scontent-waw1-1.cdninstagram.com/t51.2885-15/s640x640/sh0.08/e35/18299224_430817607296141_853274731720212480_n.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="640" data-original-width="640" height="400" src="https://scontent-waw1-1.cdninstagram.com/t51.2885-15/s640x640/sh0.08/e35/18299224_430817607296141_853274731720212480_n.jpg" width="400" /></a></div>
Кофточка готова! В пакетике остатки, ну буквально по нескольку метров, на две новых полоски бы не хватило. Я очень довольна!<br />
И вот моя сестричка уже гуляет в обновке! И совсем скоро у нее день рождения, к чему я так торопилась! Поздравляю тебя, моя хорошая! Сестра это большое богатство)))))<br />
Жду теперь, когда она сошьет что-то в комплект, уверена, это будет что-то очень красивое, и будет носиться вместе! А в моих петельках - моя любовь!<br />
Вот фоточки она мне прислала, сразу как только получила посылку:<br />
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<a href="https://images4-e.ravelrycache.com/uploads/dezdemona/448786281/0-02-05-d7166af00e22213d1570d28aa212e34eabfb05e91f00010a7dadfc5c52f43fe6_full_medium2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="640" data-original-width="360" height="320" src="https://images4-e.ravelrycache.com/uploads/dezdemona/448786281/0-02-05-d7166af00e22213d1570d28aa212e34eabfb05e91f00010a7dadfc5c52f43fe6_full_medium2.jpg" width="180" /></a>
<a href="https://images4-e.ravelrycache.com/uploads/dezdemona/448786285/0-02-05-b6a6ae649555863d11a6a620c092df2e21f223cdaec5794942da3332c8d178a5_full_medium2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="640" data-original-width="360" height="320" src="https://images4-e.ravelrycache.com/uploads/dezdemona/448786285/0-02-05-b6a6ae649555863d11a6a620c092df2e21f223cdaec5794942da3332c8d178a5_full_medium2.jpg" width="180" /></a></div>
Второй лот на очереди! :) Есть несколько идей ;) но об этом - позже.<br />
Всем желаю хороших удачных проектов, и мира в семье! </div>
desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com4tag:blogger.com,1999:blog-9035988071494171190.post-49570178280384905972017-04-29T07:49:00.000-07:002017-04-29T07:49:49.411-07:00Одуванчики по круглой кокетке<div dir="ltr" style="text-align: left;" trbidi="on">
Всем привет!<br />
Мои предыдущие сообщения не вызвали интереса :) ну и ладно.<br />
Покажу последнюю свою работу, это джемпер с круглой кокеткой, связанный в рамках двухдневного марафона по технике PuffColorKnitting Лены Родиной, мы разбирали как вязать элементы в этой технике и завершить эту модель надо было уже дома.<br />
Так как на оранжево-терракотовом фоне хорошо смотрелся желтый (благодаря маркеру-клубочку дочки Ани Гребенщиковой из полимерной глины я это обнаружила и решила развить желтую тему) - поэтому продолжением стала разработка одуванчиков в этой технике. Это было очень увлекательно!<br />
<br />
Вот этот рисунок лег в основу схемы (дизайн для вышивки)<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhRhJ5OZTwHcRMqpeTj3pJA6tGnOuryFEE7gpmCQVkZccOEUxI3vD0MO2I6hPzm3goOfYoBPGBA31OZVbJQEGU8fAIBqxnmruQximZ6_LkfVj_QgN34KdTs8M4EViBjcyejHkpcu2uEsyw/s1600/preview.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="232" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhRhJ5OZTwHcRMqpeTj3pJA6tGnOuryFEE7gpmCQVkZccOEUxI3vD0MO2I6hPzm3goOfYoBPGBA31OZVbJQEGU8fAIBqxnmruQximZ6_LkfVj_QgN34KdTs8M4EViBjcyejHkpcu2uEsyw/s320/preview.jpg" width="320" /></a></div>
Вот моя схема для вязания<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgVhQWafU33cgjxvwFYtvmydUZW5snMRglJcP85q8cWeQF1GEZ8vTpd6WSmWnY7ysnDJjpUaOcEC3f7XuWpvrUmj3WwYyklOa7ANM62GqXZ5Mb83wSpUYiC_G8OSWgUtNdS0pePqYKjPBU/s1600/IMG_9681.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgVhQWafU33cgjxvwFYtvmydUZW5snMRglJcP85q8cWeQF1GEZ8vTpd6WSmWnY7ysnDJjpUaOcEC3f7XuWpvrUmj3WwYyklOa7ANM62GqXZ5Mb83wSpUYiC_G8OSWgUtNdS0pePqYKjPBU/s320/IMG_9681.JPG" width="320" /></a></div>
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Ну и вот что получилось!<br />
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Детали:<br />
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Спасибо за внимание.<br />
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desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com5tag:blogger.com,1999:blog-9035988071494171190.post-81942980533074584532017-04-02T03:02:00.004-07:002017-06-23T05:07:34.422-07:00Математическая модель конической юбки - продолжение темы<div dir="ltr" style="text-align: left;" trbidi="on">
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Продолжая тему вязания конических юбок из книги "Схождение ажуров",<br />
я немножко увязла в моделировании вязания юбок строгой конической формы,<br />
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Эта заметка будет совсем математической, скорее для себя, чтобы не потерять.<br />
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Итак, поводом для развития темы ярусов убавлений в конической юбке послужила модель в витрине:<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiUOdMnRnxm2uocX-jvBj7rELjjvBvLQTwcfS3V6MocwW9SEPh7YvmjV6T6wPfrWmwMwM0N79Y4tOVvYLqMWZGRozdKlh-TpOHGH4JyjEdftuszY5V2Nba7q754IRHA5r6N4kB_Ov54tII/s1600/17587301_634814130044566_3398905069284884480_n.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1240" data-original-width="1080" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiUOdMnRnxm2uocX-jvBj7rELjjvBvLQTwcfS3V6MocwW9SEPh7YvmjV6T6wPfrWmwMwM0N79Y4tOVvYLqMWZGRozdKlh-TpOHGH4JyjEdftuszY5V2Nba7q754IRHA5r6N4kB_Ov54tII/s400/17587301_634814130044566_3398905069284884480_n.jpg" width="347" /></a></td></tr>
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<tr><td class="tr-caption" style="font-size: 12.8px;">В этой модели как будто бы черным фломастером нарисованы линии схождения<br />
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Если убавлять в юбке по сценарию 2->1 то нижний ярус в этой юбочке слишком узенький, он должен быть выше, и я решила подобрать какой именно сценарий схождения можно было бы использовать, чтобы получить юбочку, максимально близкую к этой на картинке.<br />
Посчитаем количество ярусов - я почему-то насчитала их 10 (считала по фото, а когда снова рассмотрела юбку на витрине, насчитала уже 12)) но будем считать что их 10).<br />
Предполагаем что клешение юбки - полусолнце, а обхват талии и длину прикинула по себе.<br />
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Получается, что если выполнять убавления <b>8->7 </b>на высоте, обозначенной черными линиями, то за 10 таких подходов получится ровное полусолнце.<br />
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Всё считается по формулам из книжки "Схождение ажуров" :) Убавлять не обязательно в ажурах и раппортах, можно просто убавлять каждую 8-ю петлю.<br />
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А теперь вывод, откуда 8->7:<br />
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<h4 style="line-height: 100%; margin-bottom: 0cm; text-align: left;">
<b>Определение
способа N->M убавления в конической
юбке по заданному количеству ярусов</b></h4>
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<img height="51" hspace="9" name="Объект1" src="data:image/png;base64,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" width="128" /> </div>
- эта общая формула для всех конических юбок, где <b>n </b>- количество ярусов, <b>r</b> - радиус талии, <b>H</b> - длина юбки, <b>N->M</b> - сценарий схождения.
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Выражаем <b>N/M</b> так как именно сценарий схождения мы и должны выяснить:
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<div style="line-height: 100%; margin-bottom: 0cm; text-align: center;">
<img height="49" hspace="9" name="Объект2" src="data:image/png;base64,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" width="106" />
</div>
<div style="line-height: 100%; margin-bottom: 0cm; text-align: center;">
<img height="49" hspace="9" name="Объект3" src="data:image/png;base64,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" width="107" />
</div>
<br />
Таким образом, задавая количество ярусов <b>n</b>, и зная два параметра <b>Обхват талии</b> и <b>длину юбки, </b> а также ее <b>клешение</b>, мы можем оценить сценарий убавлений, реализующий такую юбку.
<br />
<br />
<b>Пример 1</b>:
OT=75 H=70 клешение полусолнце, а количество
ярусов хотим сделать 10,
значит
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<div style="line-height: 100%; margin-bottom: 0cm; text-align: center;">
<img height="51" hspace="9" name="Объект5" src="data:image/png;base64,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" width="261" />
</div>
<br />
А дальше стоит интересная задачка, нужно представить десятичную (непериодическую) дробь как рациональную. Прямого решения я не нашла... может оно и есть, но нам на самом деле нам не нужно точное приближение, а важно найти N, отличающееся на 1 от M, чтобы понять каждую какую петлю (5-ю, 7-ю, 10-ю?) лучше убавить.<br />
<br />
Предположим, что <b>N=M+1</b>, тогда <br />
<br />
<img src="data:image/png;base64,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" /> и если отсюда выразить <b>M</b>, <img src="data:image/png;base64,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" /> То есть взяв <b>M=7</b> и сделав убавление <b>8->7,</b> получим требуемую коническую форму.<br />
<br />
<br />
<br />
<b>Пример 2</b>: А вот если количество
ярусов в той же юбке мы захотим сделать 4, как это повлияет на сценарий убавлений?
<br />
<div style="line-height: 100%; margin-bottom: 0cm; text-align: center;">
<img height="51" hspace="9" name="Объект6" 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<img height="44" hspace="9" name="Объект10" src="data:image/png;base64,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" width="146" />
</div>
М=3, а значит
убавление будет 4->3.
Проверяем,
<img height="51" hspace="9" name="Объект7" src="data:image/png;base64,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" width="198" />
максимальное
целочисленное n — 4 яруса. То есть
убавление лучше подойдет 4->3
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Итак, по заданному количеству ярусов <b>можно</b> подобрать сценарий убавлений конической юбки.<br />
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Вязать таким образом можно не только юбки, но также любые сектора круга, они встречаются и в круглых кокетках, и в рукавах, и каких-то подрезах конической формы, любых вставках на расширение.
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desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com0tag:blogger.com,1999:blog-9035988071494171190.post-11604818473816083662017-04-02T02:27:00.000-07:002018-01-21T12:51:43.373-08:00Коническая юбка - вяжем солнце по книге "Схождение ажуров"<div dir="ltr" style="text-align: left;" trbidi="on">
Всем привет!<br />
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Хочу рассказать о своем проекте в инстаграм (можно посмотреть по хэштегу #коническая_юбка) и заодно перенести сюда информацию по нему, а следующим постом - напишу о развитии темы убавлений в конических юбках.<br />
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Итак, мы вязали юбку-солнце по схемам из раздела книги "Общий метод схождения", я уже вязала такую юбочку при подготовке материалов книги<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhosxmM3NUCb9nxXOFEVimzweLp8NSnWV941I1GNyt-mNiJYyL2kmrKnhIs-fDhKM0Rvr3pupgxAZvIfESdIQsny1pIJqtf33E2orFIDWYxm8mXwrFCUtSq8dt9sdGwAQIqqjhaopqulBE/s1600/IMG_20150906_212453211.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1600" data-original-width="901" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhosxmM3NUCb9nxXOFEVimzweLp8NSnWV941I1GNyt-mNiJYyL2kmrKnhIs-fDhKM0Rvr3pupgxAZvIfESdIQsny1pIJqtf33E2orFIDWYxm8mXwrFCUtSq8dt9sdGwAQIqqjhaopqulBE/s400/IMG_20150906_212453211.jpg" width="225" /></a></div>
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но вот младшая дочка попросила связать ей такую же юбку, и я организовала публичный проект.<br />
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Итак, чтобы связать такую юбку, потребуется мохер не очень тонкий (чтобы не было много петель))) и пряжа с люрексом для блестящих полосок.<br />
Вот схема основного ажура:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiX19FFFgDyNCmsTwYwD7YV7sB7Z7sKk9YeH62cAoB-ndYnuKQIqhUnBxSvfybt89DKxBxRZeIM65sR5dQhW8-D7DjUBAlDYqCqWYeITV9l3myfmhBU8wYyUHJGwqqjWkij3iAt4KeZObs/s1600/16789979_1849757941978390_2392801094636929024_n.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="280" data-original-width="413" height="270" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiX19FFFgDyNCmsTwYwD7YV7sB7Z7sKk9YeH62cAoB-ndYnuKQIqhUnBxSvfybt89DKxBxRZeIM65sR5dQhW8-D7DjUBAlDYqCqWYeITV9l3myfmhBU8wYyUHJGwqqjWkij3iAt4KeZObs/s400/16789979_1849757941978390_2392801094636929024_n.jpg" width="400" /></a></div>
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9-й ряд я вязала блестящей нитью, остальное - мохер на шелке. Раппорт 10 рядов и 10 петель. Вяжем образец не меньше 10х10 см!, делаем ВТО, замеряем.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiB2NRKko3rAHaME8OmzC25PpA1JSIA1bTs1yuAROrb5XdP347fY2KRYdeRNPk5TxvCcUuww417brkzKtJJ5OkyDW_z4zC6V-NcMsVkMuymG2CtdESEpckz5Aoko6X0bPpmy4smyJBCN9I/s1600/16788628_1783618965298703_4537580218910507008_n.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="640" data-original-width="640" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiB2NRKko3rAHaME8OmzC25PpA1JSIA1bTs1yuAROrb5XdP347fY2KRYdeRNPk5TxvCcUuww417brkzKtJJ5OkyDW_z4zC6V-NcMsVkMuymG2CtdESEpckz5Aoko6X0bPpmy4smyJBCN9I/s400/16788628_1783618965298703_4537580218910507008_n.jpg" width="400" /></a></div>
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Итак, мой образец. Пряжу лучше выбирать пушистую, с ней легче работать и потом легче "уложить" убавления в узоре. У меня мохер Ilusion Katia 25г/125м. В квадрате 10х10 получилось <span style="color: red; font-size: large;"><b>16</b></span> петель и <b><span style="color: red; font-size: large;">23</span></b> ряда.</div>
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Потребуется два параметра, замеряю по дочке: <b>длина юбки (<span style="color: red; font-size: large;">30</span> см)</b> и <b>обхват талии (<span style="color: red; font-size: large;">53</span> см).</b><br />
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Буду вязать снизу вверх. Первый вопрос: сколько петель мне набирать? Воспользуюсь <a href="http://goo.gl/7VnSh5">калькулятором формул</a> книги "Схождение ажуров".<br />
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Ввожу плотность образца и параметры юбки. Нажимаю "посчитать".<br />
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С нашим узором работать очень легко, раппорт 10 петель на 10 рядов. Видим, что набирать надо 386 петель, т.е. округляем 38 раппортов.<br />
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Калькулятор выдает рекомендации по убавлениям (4 способа). Убавление 2->1 означает что на высоте 19 см или 44 ряда рекомендуется оставить из двух петель одну, т.е. ровно половину. И на высоте 66 рядов повторить эти же убавления.<br />
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Я выбираю самый сложный путь, четвертый, вот мое солнышко:<br />
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Попробуйте просчитать юбку по своим параметрам с помощью калькулятора, я помогу разобраться если возникнут вопросы. Калькулятор считает, но пока красиво не оформлен))<br />
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Можно смело набирать петельки (я набираю на бросовую нить, потом обвяжу открытые петли блестящей нитью крючком).<br />
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Сделала первое <a href="https://www.instagram.com/explore/tags/%D1%81%D1%85%D0%BE%D0%B6%D0%B4%D0%B5%D0%BD%D0%B8%D0%B5%D0%B0%D0%B6%D1%83%D1%80%D0%BE%D0%B2/">#схождениеажуров</a> по методу Лены Родиной и расчетам калькулятора, немного доработала схему схождения, которая была приведена в книге "Схождение ажуров", вот она:</div>
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На схеме показано убавление ровно одного раппорта ажура за 10 рядов. Таким образом, если у меня первый ярус убавления по расчетам приходится на 22 ряд, то выполняю я его на третьем десятке или в третьем раппорте юбки. Убавляемые раппорты помечаю маркером (у меня их 9). Дальше как вязать, наверное, понятно. </div>
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А вот и мое солнышко!<br />
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После завершения всей высоты ажура вяжем пояс гладью на спицах потоньше, примерно 1.5-2 см под толщину резинки, изнаночный рубчик и снова гладь. Все отпарить, отпарить ткань для подклада. Вырезать подклад. Верхний край приметать к юбке. </div>
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Потом кетлюю открытые петли пояса сквозь подкладочную ткань (может это неправильно, но практика показывает что такая система живет долго), не забываем оставить дырочку для вдевания резинки. Последний этап - обвязка низа и обработка подклада оверлоком. Главное выровнять нижний край после пришивания, он висит по-разному и не должен торчать. Ну и всё! Надеюсь, мои заметки были кому-то полезны.</div>
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К обеим юбочкам сшила топики из подкладочной ткани:<br />
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desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com0tag:blogger.com,1999:blog-9035988071494171190.post-74696828680565091792017-01-25T09:45:00.001-08:002017-01-26T00:12:05.753-08:00Зачем нам дома вязаный вяз?<div dir="ltr" style="text-align: left;" trbidi="on">
Аххаха!!! Я таки нашла его!<br />
Я нашла этот видеоролик, в котором есть сценка про вязаный вяз)))<br />
Я давным-давно как-то увидела его по телевизору, и потом долгое время искала что это за выпуск, но этих передач целая уйма, а мне была нужна только эта сценка! И вот сегодня мне снова вдруг приспичило ее найти, и в осинке одна девушка написала "Вчера видела сценку..." и дальше описала ее словами - и ключевое слово было "Вчера"))) ее оказалось легко найти в списке выпусков. Решила оставить себе в дневнике - это "Смех без правил" 6 сезон 6-й выпуск 19-я минута ))) Делюсь с вами!<br />
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<iframe allowfullscreen="" frameborder="0" height="405" mozallowfullscreen="" src="//rutube.ru/play/embed/4812361?bmstart=1170&sAuthor=false" webkitallowfullscreen="" width="720"></iframe>
<a href="https://rutube.ru/video/a4284f8110b3eb40f20561bc9a6faaa6/">Смех без правил, 6 сезон, 6 выпуск</a> от <a href="https://rutube.ru/metainfo/tv/21/">Смех без правил</a> на <a href="https://rutube.ru/">Rutube</a>.<br />
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Только эту сценку))) зачем нам в доме вязаный вяз аххахаха)))</div>
desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com3tag:blogger.com,1999:blog-9035988071494171190.post-2849977105807246442016-12-18T09:48:00.002-08:002016-12-18T09:57:14.942-08:00Жакет Шанель Виккель и продолжение французской темы<div dir="ltr" style="text-align: left;" trbidi="on">
Друзья, я так долго не писала здесь... И есть что сказать, и творчеством занимаюсь каждый день... А времени катастрофически не хватает!... Что же за жизнь пошла, о себе вспомнить некогда)))<br />
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Но заметки надо писать. Мне лично интересно потом возвращаться к своим мыслям год, два, три назад... Хотя бы пару строк. Инстаграм - это "пост на день", все пестрит красивыми "лощеными" картинками и уже ничего не важно, тексты на втором месте. Фейсбук дело публичное... И только блог - личное.<br />
Так что я снова в своей маленькой комнатке и хочу записать свои творческие эмоции и впечатления.<br />
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Вообще, именно в этом году многое произошло ...<br />
В плане вязания после июля, когда я писала предыдущий свой пост, были еще удачные и очень интересные проекты:<br />
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<li>я наконец-то доделала "Синий лён" и даже гуляла в нем летом, как-то все вовремя произошло, летом связала летнее и с удовольствием носила. Мне очень нравится эта модель, и самое в ней интересное, что по ощущениям рук - это самый обычный "мешок"! потому что лён есть лён (муж мне говорит "забери с балкона свой мешок, он уже высох"))) )! НО вместе с тем - и что самое удивительное - тело любит лён! В нем очень комфортно и приятно в самую жару.</li>
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="http://images4-e.ravelrycache.com/uploads/dezdemona/381673931/13422848_1745979362351740_1296811417_n_medium2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" src="http://images4-e.ravelrycache.com/uploads/dezdemona/381673931/13422848_1745979362351740_1296811417_n_medium2.jpg" height="400" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Lin Bleu by Lena Rodina</td></tr>
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<li>летом закончился проект Lavande de Provence - это платье с ввязанным кружевом в технике Лены Родиной мы вязали в <a href="http://blog.triskeli.ru/2016/07/lavande-de-provence.html">тест-группе в Трискеле</a> и оно получилось очень красивым!</li>
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Здесь использованы 9 видов пряжи и два вида кружева, ажур и декоративные элементы в технике Puff Color Knitting которую придумала Лена Родина.<br />
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<li>потом уже к осени я решила поэкспериментировать и сделать вставку в вязаное изделие кружевного полотна. Мы ездили на фабрику Sophie Halette и привезли кружево от которого невозможно глаз отвести... правда, оно необычайно красивое. И вот в августе приезжает пряжа Carpe Diem в новом цвете 72 - такой цвет талой воды, но насыщеннее, и не мятный и не ментоловый а более спокойный водный цвет, назовем его аква... И точно такого же цвета было кружево. В общем, решила я совместить эти два материала в одном изделии. Вот что получилось:</li>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg0UyDMBHEUM94FjaD7_My8iL5HSx38TYvBAOPFwwlAiuIWxUGChKpuemWKuXCNmnQQg1YZJW8sKZzMshDgqzsAjsX-ued9ZVqK5Bz2FBK0hmHja8fC-XBUMwZhfjJHSr3GPn86AlmmKuQ/s1600/IMG_8546.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg0UyDMBHEUM94FjaD7_My8iL5HSx38TYvBAOPFwwlAiuIWxUGChKpuemWKuXCNmnQQg1YZJW8sKZzMshDgqzsAjsX-ued9ZVqK5Bz2FBK0hmHja8fC-XBUMwZhfjJHSr3GPn86AlmmKuQ/s320/IMG_8546.JPG" width="240" /></a>
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Пряжа Carpe Diem Lang Yarns, кружево Sophie Halette хлопковое. Кружево ввязано в регланные линии, внутрь бейки горловины (пришлось располовинивать нить при вязании кармана для горловины на изнанке), а реснички решила выпустить наружу по плечам :)<br />
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При стирке модели немного переусердствовала, а пряжа Carpe Diem этого никак не любит, нельзя ее отжимать в стиральной машине... даже трех минут хватило чтобы ее чуть-чуть но завалять... Но при всем этом свитер можно носить, и он клевый, и я им горжусь!<br />
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<li>еще было осенью одно очень важное для меня событие - это выход в свет книги "Схождение ажуров". <div class="separator" style="clear: both; text-align: center;">
<a href="https://static-eu.insales.ru/images/products/1/2441/95857033/Shojdenie-azurov.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://static-eu.insales.ru/images/products/1/2441/95857033/Shojdenie-azurov.png" width="217" /></a></div>
Эта книга - результат большой и длительной совместной работы нескольких человек. В основе книги - 5 дизайнов Лены Родиной. Текст, тестирование моделей, вывод математических формул построения конической юбки, оформление и сотрудничество всей команды было моей работой. И если бы мне сказали летом что книга выйдет в ноябре - я бы никогда в это не поверила! Но это уже произошло, и я испытываю чувство гордости и большой благодарности, что все-таки цель была поставлена и достигнута! Вообще, если честно, просто радуюсь как ребенок!!!))))) Что есть мечты и что они сбываются! И освобождают место для новых)))</li>
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Книга - это отдельная история, и она уже рассказана здесь (<a href="http://blog.triskeli.ru/2016/11/blog-post.html">как она зарождалась</a>) и здесь (<a href="https://triskeli.ru/page/lace-book">о чем она</a>) и уже прошла ее презентация в Москве (<a href="https://www.facebook.com/events/362345150765197/">фотоотчет здесь</a>), а мне остается только выдохнуть "вопль восторга" и заняться новыми делами. </div>
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И совсем недавно завершился проект по тестированию описания к модели Лены Родиной "Виккель", мы вязали эту модель вшестером, каждый свою версию, отчет можно посмотреть <a href="http://blog.triskeli.ru/p/blog-page_28.html">здесь</a> и я тоже принимала участие и связала свой вариант этого жакета. Вот такой он получился:<br />
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Очень надеюсь что еще будут красивые фотографии, но я очень довольна и горжусь этой работой. По сложности даже не припомню когда такое делала))) Месяц усердного вязания и ведения тест-группы, и вот уже мы можем надеть наши жакеты на новый год! Наряд готов!)))<br />
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Ну и вот, надеюсь. еще будет время подвести итоги года и записать свои мечты. Одну мечту, нет, даже две - я четко знаю. Это 1) снова съездить во Францию и 2) связать кашемировое платье. Всё в наших руках, друзья мои! Ну, или многое, точнее. Главное не отчаиваться, не останавливаться и двигаться к цели, хоть мелкими шажками, хоть ползти, но продвигаться к тому чего ты хочешь.</div>
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desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com10tag:blogger.com,1999:blog-9035988071494171190.post-88175881912876835212016-06-03T01:15:00.000-07:002016-06-05T03:51:17.127-07:00Про Париж...<div dir="ltr" style="text-align: left;" trbidi="on">
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Про Париж...<br />
что сказать даже не знаю. Это не то что город моей мечты, это вообще, можно сказать, город моей судьбы ))) Когда я работала в пейджинговой компании "Парагон", нам всем выдавали рабочий пейджер, и он должен был называться имя-фамилия, так вот я сто заявлений написала и мне сделали "ник" - "Хочу в Париж". Там же мы познакомились с мужем, и он так хохотал когда узнал что у меня такое название пейджера, что сказал меня нельзя брать в жены, а то придется в Париж везти))) типа это растратно. В общем, шутка ли или не шутка,<br />
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но в этом году,<br />
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вот прямо в конце этой весны,<br />
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спустя 15 лет после этой истории)))<br />
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я поехала в Париж!! Вместе с командой салона рукоделия "Трискеле", в качестве корреспондента))))<br />
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Я была там 22 года назад. Это был приз мне-школьнице за участие в конкурсе "Знаешь ли ты Францию". Я в Париже, верите или нет, знаю каждый уголок... лучше чем любой город планеты)))) ну а за каждым "знаю", как известно, кроется еще больше "не знаю".<br />
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Поэтому я, как тот Евдокимов, "не знаю что рассказывать" и "морда такая красная"))))<br />
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Самое большое личное впечатление это Notre Dame... Снаружи это такой огромный собор! со всех сторон разный... Внутри уникальный... С особой атмосферой. Собор действующий, и мне в этот раз посчастливилось оказаться там перед началом мессы. Нам выдали листки со словами, мы зашли за цепочку для участвующих в церемонии, и заиграл орган... это просто чудо из чудес, невыразимо прекрасное ощущение, как будто времени больше нет, ничего больше нет, только ты и музыка... Потом вышел служитель весь в белом, что-то говорил, мы пели слова с листка, все вместе, потом вышла девушка в синем... и как она запела! и что это были за звуки.... невыразимо прекрасные, я никогда этого не забуду.<br />
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А потом мы гуляли с подружкой у Сены, там все сидят на мостках<br />
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пили кофе из "мензурок" и были абсолютно счастливы встретиться. Мы дружим со школьной переписки, вот уже 25 лет.<br />
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Жила я в этот раз на Монмартре, в отеле Sacha ))) вот такое совпадение ))) Отель очень понравился, милый, в таком театральном стиле оформлен, кушали по утрам круассаны, пили свежевыжатый оранж и гуляли у великолепной Сакре Кёр ночами, накачали себе коленки))) поднимаясь и спускаясь в этом районе.<br />
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Здесь мы говорили о том что все соборы имени святых, а этот Sacre-Coeur что означает "сакральное сердце" и Лаура мне объяснила что это означает "сердце Христа". Самое высокое место Парижа, с открывающейся панорамой города, и всего в нескольких шагах от отеля!</div>
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Поесть в Париже, как всегда, не очень удается))) слишком другая там кухня, своеобразная. Но по ресторанам мы походили! ))<br />
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В рыбном ресторане Mascotte я заказала рыбный суп (которого не смогла съесть ни ложки! очень специй много!) а Лаура вот такую "кастрюлечку" мидий с удовольствием!<br />
А рыбки всех сортов это уже для тех кто сидел в нашей компании напротив.<br />
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/513949/view/1257994?page=3" target="_blank"><img border="0" height="375" src="https://img-fotki.yandex.ru/get/52127/121642959.11/0_13320a_d569c32c_L.jpg" width="500" /></a>
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Вино здесь было потрясающе вкусное! Атмосфера такая классная. Говорим на русском, обсуждаем куда пойдем завтра, и вдруг за соседним столиком дядька лет так 50-ти, пришедший со своей дочерью и женой (думаю) <b>на чистом русском</b> говорит, а сходите в музей Моне! Мы аж вздрогнули, сидим никого не трогаем, формулируем заказы на французском, а тут соседи с которыми можно говорить))) Он нам говорит - я русский шпион! И действительно выглядел как шпион))))<br />
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Что еще делали? Катались на кораблике, конечно.<br />
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Удивилась вот таким яхтам которые давно никуда не плавают и их сдают как жилье на воде.</div>
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Там загорали люди))</div>
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В парках вот такие рододендроны, цветы размером с голову,</div>
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А это национальная библиотека Франции, в четырех огромных зданиях Север-Юг-Запад-Восток, и между ними протянуты читальные залы, через которые можно пройти из здания к зданию.</div>
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/513949/view/1258045?page=5" target="_blank"><img border="0" height="375" src="https://img-fotki.yandex.ru/get/26468/121642959.12/0_13323d_f410f053_L.jpg" width="500" /></a>
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Конечно, эти замечательные кондитерские и пекарни...</div>
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Конечно, эти чудесные и быстрые бистро и старинные пассажи...</div>
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/513949/view/1258067?page=6" target="_blank"><img border="0" height="375" src="https://img-fotki.yandex.ru/get/60537/121642959.13/0_133253_f95b60ce_L.jpg" width="500" /></a>
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/513949/view/1258071?page=6" target="_blank"><img border="0" height="500" src="https://img-fotki.yandex.ru/get/29984/121642959.13/0_133257_9f81ddf5_L.jpg" width="375" /></a>
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Видите там сверху написана дата постройки! 1846 год!!! Стоит себе, торгуют люди, и именно сюда мы были приглашены на дефиле.</div>
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Все отчеты о рукодельных событиях я написала в творческих заметках "Трискеле", кому интересно, можете почитать "<a href="http://blog.triskeli.ru/2016/05/pierre-de-loye-anny-blatt-2016-17.html">Экскурсия на фабрику Pierre-de-Loye</a>" и "<a href="http://blog.triskeli.ru/2016/05/caudry.html">Путешествие в страну кружева Caudry</a>".</div>
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Очень понравился город Авиньон, мы еще в школе учили песенку "<a href="https://youtu.be/uJKfxtYAt0s">Sur le pont d'Avignon</a>"))) видела я кусочек этого мостика! ))) Именно кусочек, так как он наполовину разрушен, и сохранили только его половинку.</div>
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Вот это как раз то самое райское место где растет лаванда...! Привезла себе букетик на память.<br />
А это возле лавочки где продаются картины художников, рисуют одну лаванду)))<br />
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/513949/view/1258082?page=6" target="_blank"><img border="0" height="375" src="https://img-fotki.yandex.ru/get/112678/121642959.13/0_133262_631279d6_L.jpg" width="500" /></a>
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Городок Авиньон славится тем, что в нем проходит театральный фестиваль, и всего лишь на один месяц в году город оживает, а потом живет ожиданием этого фестиваля в следующем году...<br />
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/513949/view/1258086?page=6" target="_blank"><img border="0" height="375" src="https://img-fotki.yandex.ru/get/61020/121642959.13/0_133266_4e49b4ff_L.jpg" width="500" /></a>
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Это возле Palais de Papes<br />
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Потрясающе красивые места...!</div>
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/513949/view/1258096?page=7" target="_blank"><img border="0" height="375" src="https://img-fotki.yandex.ru/get/31412/121642959.13/0_133270_24516df_L.jpg" width="500" /></a>
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/513949/view/1258100?page=7" target="_blank"><img border="0" height="375" src="https://img-fotki.yandex.ru/get/61020/121642959.13/0_133274_e75fd1c1_L.jpg" width="500" /></a>
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Выход к вокзалу...</div>
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/513949/view/1258110?page=7" target="_blank"><img border="0" height="375" src="https://img-fotki.yandex.ru/get/56621/121642959.13/0_13327e_fbfee2b8_L.jpg" width="500" /></a>
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И вот мы уже на поезде мчим назад в Париж через всю Францию, за 3.5 часа!</div>
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Едем на втором этаже, поезд TGV очень быстро едет, фотографии трудно сделать, проезжаем много вот таких городков</div>
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/513949/view/1258116?page=8" target="_blank"><img border="0" height="375" src="https://img-fotki.yandex.ru/get/29984/121642959.14/0_133284_46fc322_L.jpg" width="500" /></a>
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Я вообще не знаю как спокойно рассказывать о Франции... Это особый мир, мир который с большой любовью открыла мне моя учительница французского в школе Антонина Илларионовна Калугина, которой я безмерно благодарна, и вспоминаю ее всю свою жизнь. И я еще вернусь туда, очень надеюсь! )))</div>
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desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com9tag:blogger.com,1999:blog-9035988071494171190.post-66328511357547568252016-05-30T09:21:00.002-07:002016-05-31T00:03:03.203-07:00Кружево как отдельный мир творчества<div dir="ltr" style="text-align: left;" trbidi="on">
Всем привет!<br />
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Ох сколько всякого у меня было... Съездила в Париж! Была в кружевной стране Caudry на севере Франции, на кружевной фабрике и в настоящей вышивальной сказке!<br />
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<a href="https://scontent-frt3-1.cdninstagram.com/t51.2885-15/s640x640/sh0.08/e35/c17.0.1046.1046/13167281_235802050125134_947833760_n.jpg?ig_cache_key=MTI0NzU2MDg0NTY0MjU0NDQwOQ%3D%3D.2.c" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="400" src="https://scontent-frt3-1.cdninstagram.com/t51.2885-15/s640x640/sh0.08/e35/c17.0.1046.1046/13167281_235802050125134_947833760_n.jpg?ig_cache_key=MTI0NzU2MDg0NTY0MjU0NDQwOQ%3D%3D.2.c" width="400" /></a></div>
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Любовь к кружеву у меня давно, просто страшно его носить и использовать в гардеробе, чтобы оно не перетягивало в "бельевую тему", чтобы смотрелось уместно.<br />
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И вот сегодня у меня кружевной дуэт - в топе кружево шелковое, тонкое, нежное, с ресничками, машинное, классика тонкого кружева. Юбочка - это то что осталось от платья, сохранила самое ценное :) Кружево в юбке 100% х/б вязаное, тоже классика но из другой "оперы".<br />
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А вот совместим ли этот дуэт, как вы думаете?<br />
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desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com10tag:blogger.com,1999:blog-9035988071494171190.post-65162797953750099742016-05-03T06:08:00.000-07:002016-05-03T06:10:52.691-07:00Платьице из 6 цветов<div dir="ltr" style="text-align: left;" trbidi="on">
Всем привет!<br />
Какой у нас яркий и теплый май начался! Как хорошо гулять... эх если бы не аллергия на цветение у большей половины семьи... Один день шашлыков стОит трех дней "отходняка"...<br />
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А я связала платье! Пряжу купила, наверное, еще в марте, и вот извязала целых половина пасмы, то есть 6 цветов! 6 еще остались.<br />
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Вот так выглядит косичка пряжи <a href="http://triskeli.ru/collection/skeino/product/pryazha-arabella-shawl-skeino">Arabella Shawl</a> от Skeino. Выбрала цвет Dahlia, косичка достаточно объемная, наощупь приятные пасмочки! Вязать очень понравилось, а от цвета конечно только восторг, от каждого из них и от сочетаний! <br />
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1253286" target="_blank"><img border="0" height="225" src="https://img-fotki.yandex.ru/get/58717/121642959.10/0_131fa6_f1262fb_M.jpg" width="300" /></a> </div>
Использовала только половину пасмы, она с одной стороны в красно-синих оттенках, с другой стороны в розово-сиреневых, в общем, сиреневые оставила на следующий проект. Получилось вот такое платьице на возраст 3 года:<br />
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<a href="http://club.osinka.ru/picture-10305895?p=18057599"><img src="https://img-fotki.yandex.ru/get/28982/121642959.10/0_131f9f_f1b9bd29_M.jpg" /></a> <a href="http://club.osinka.ru/picture-10305894?p=18057599"><img src="https://img-fotki.yandex.ru/get/58675/121642959.10/0_131fa8_c9b98349_M.jpg" /></a> <a href="http://club.osinka.ru/picture-10305898?p=18057599"><img src="https://img-fotki.yandex.ru/get/35827/121642959.10/0_131fa4_32add798_M.jpg" /></a></div>
Еще немножко подробностей:<br />
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1253276" target="_blank"><img border="0" height="300" src="https://img-fotki.yandex.ru/get/60682/121642959.10/0_131f9c_d9256462_M.jpg" width="400" /></a>
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Использовала элементы в технике puff color knitting Лены Родиной <img src="https://assets.osinka.net/v2/assets/images/smiley/a1f0d38487f65d90ac61276b4d0b3a65-icon_roza.gif" /> , они очень хорошо вяжутся из этой пряжи, смотрятся органично при смене цвета. <br />
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1253277" target="_blank"><img border="0" height="500" src="https://img-fotki.yandex.ru/get/52127/121642959.10/0_131f9d_e28f1f6b_L.jpg" width="375" /></a>
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Интересно, при поиске схемы каймы нашла, что кайма бывает на расширение (называется "<i>верхняя" </i>- у меня как раз такая), бывает на сужение ("<i>нижняя</i>"), а бывает перпендикулярная, с изменением ширины.<br />
Вот на этой фотографии хорошо видно. Цветочки связала раньше каймы, поэтому они немного не попали в ритм)) схему нашла после них. Не так-то просто оказалось найти подходящую кайму!<br />
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1253280" target="_blank"><img border="0" height="500" src="https://img-fotki.yandex.ru/get/28982/121642959.10/0_131fa0_34c6d553_L.jpg" width="373" /></a>
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А главное в запасе еще осталось удовольствия на целый лавандовый проект <img src="https://assets.osinka.net/v2/assets/images/smiley/9ee646ffab71107d1a11407be52f33a5-icon_smile.gif" /> <br />
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<a href="http://club.osinka.ru/picture-10305897?p=18057599"><img src="https://img-fotki.yandex.ru/get/35827/121642959.10/0_131f9e_e3545486_S.jpg" /></a></div>
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Хочется связать простые полоски, чтобы сохранить градиент цвета, который задумал производитель, и если вязать себе - то потребуется основной цвет фона, хотя сюда даже белый подойдет.<br />
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А лето уже стучится во все двери! Открывай скорей! Есть что надеть? ;)))</div>
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desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com10tag:blogger.com,1999:blog-9035988071494171190.post-56757355613784785252016-04-18T05:19:00.001-07:002016-04-18T05:19:54.538-07:00Кардиган для дочки<div dir="ltr" style="text-align: left;" trbidi="on">
Всем привет!<br />
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Хочу чуть-чуть записать свои впечатления от вязания лало-кардигана.<br />
На картинках он такой легкий, на стройных девушках, что для меня осталось загадкой из чего же его вяжут :) Так как мы подбирали проект под большие спицы (5-6 мм) и собирались вязать крупные косы, мы обсудили с дочкой цвет (она хотела только красный, без градиента) и я выбрала бобинную ярко-красную пряжу Saida с неизвестным составом, вроде там и пушок есть (ангора) и так наощупь вроде синтетики маловато, но она такая как бы масляная, что одну ее вязать я не придумала что именно, и было решено добавить к ней ниточку мохера для благородного пушка и уюта :)<br />
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Уже частично я его тут показывала, на манекене он провисел у меня с прошлого лета, летом вязать жарко, а зимой всё надо-надо, в общем в конце зимы я снова о нем вспомнила, и решила таки "добить" до победного конца.<br />
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Так как он висел на манекене и сам по себе тяжелый, то, конечно, проймы вытянулись до талии((( поэтому я решила распустить верхние 10-15 см и снова связать воротник и сшить плечи, пришить воротник. Стало хорошо, но было ясно, что так он себя и продолжит вести и будет вытягиваться дальше. Может быть из-за нитки, может быть из-за рыхлой вязки.<br />
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Поэтому я решила окантовать все срезы на машине и связать планки. А так как планки все равно надо было фиксировать изнутри, и всё остальное тоже могло "поплыть", я его решила посадить на подклад. Сшила подклад, и все планки прикеттлевала по открытым петлям прямо сквозь него.<br />
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А теперь картинки!<br />
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Результатом я очень довольна! Но вообще, понимаю конечно что связать лало-кардиган - это тяжкий труд!! Мне он показался очень сложным! Хотя я вертела косы в одну сторону, это легче, но он почти не управляемый из-за своего веса. Только какое-то упорство помогло победить мне его и не сдаться. </div>
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Один кеттлевочный шов снизу занял у меня 4 часа. Только пришить планку (вдоль, отвернуть пришить, и пришить к подкладу) - 6 часов. Сшить подклад - день. Так что это не та модель, которую захотел - надел, надо очень попотеть!</div>
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desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com11tag:blogger.com,1999:blog-9035988071494171190.post-28776984401526900152016-03-07T09:10:00.000-08:002016-03-07T09:10:24.144-08:00Вяжем, рисуем и слушаем!<div dir="ltr" style="text-align: left;" trbidi="on">
Всем привет!<br />
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Хочу немножко рассказать об эксперименте,<br />
дочка к Дню рождения заказала себе черный шарф, ну это-то запросто, но потом она сказала, вздыхая, вот если бы на нем была эмблема моей любимой группы... :)<br />
Любимая группа называется "Оргия праведников" :) Их музыку дочка слушает вместе с папой, ездят на концерты, общаются с музыкантами, даже однажды брали урок по гитаре у Алексея Буркова, оказалось что он учился в той же музыкальной школе, которую заканчивает моя дочь! :) вот так совпадения!<br />
вот их фотография:<br />
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Мне очень нравится песня их солиста Сергея Калугина "Возвращение в Неаполь"<br />
<iframe allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/uy9-FXJNqbo" width="560"></iframe>
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А эмблема группы вот такая:<br />
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Итак, задание было получено и оформлено в задачу связать ровный круг и нарисовать в нем эмблему - буквы "ОП" в стиле китайского иероглифа.<br />
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Распечатала, рассчитала и вязала по последовательности снизу на листке :)<br />
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Потом, когда шарф был закончен, приехала в салон рукоделия Трискеле к Лене Родиной и она помогла нарисовать мне иероглиф текстильными красками Armonia<br />
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<a href="https://www.instagram.com/p/BCgU1agNbSe/?taken-by=desdemona.inst">тут</a> можно посмотреть короткое видео, как мы рисовали :) Пряжа меринос 100% Missoni в 7 сложений.<br />
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В итоге ребенок мой счастлив, и я счастлива вдвойне!<br />
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А новое! А новое! Покажу :)<br />
Купила не удержалась вот такую косичку состоящую из 12 маленьких пасм окрашенных вручную<br />
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Пряжа называется Arabella Shawl от Skeino и вот так интересно представлена. Весит косичка 330 грамм, каждая пасма по 90 метров.<br />
Хочу что-то доченьке младшей придумать, пока только размотала одну пасму и связала небольшой образец.<br />
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Всем приятных выходных! Как же здорово отдыхать 4 дня! Хотя отдыхать все равно не получается, когда семья большая, но радости-то сколько!<br />
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Поздравляю всех девушек, девочек, мам, бабушек, всех женщин - с нашим праздником! Еще хочу поделиться чудесной игрой на арфе Алисы Садыковой, видео которой я сегодня случайно встретила (показывала дочке как выглядит арфа...) - это что-то незабываемое! Я не отрываясь посмотрела раза три уже...<br />
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Журчат ручьи, звенят капели, как же хорошо, жизнь прекрасна, когда девочки умеют так играть что взрослые замирают от восторга!</div>
desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com6tag:blogger.com,1999:blog-9035988071494171190.post-36975845136319617052016-02-25T22:23:00.002-08:002016-02-25T22:23:59.102-08:00Жилет для юбочки<div dir="ltr" style="text-align: left;" trbidi="on">
Всем привет!<br />
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У меня готов жилетик, ура-ура, больше года назад я писала здесь что меня вдохновила Наталья Гарсо, и теперь могу похвастаться своим вариантом сочетания жаккарда + клетчатой юбки!<br />
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Эта юбка, кажется, была со мной всю жизнь... и вот теперь, наконец, ей составлена компания.<br />
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Жилетик связан жаккардом без перетяжек, со стиками, решила впервые их попробовать сделать, результат, конечно, есть, но больше повторять такое геройство я не буду)))<br />
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Жилет вязала по выкройке и описанию <a href="http://www.ravelry.com/projects/incorporate/ivy-league-vest">Ivy League Vest</a> by Eunny Jang - описание бесплатное, в нем объяснены все узоры, все убавки, все резиночки и - главное - как делать стики, от начала до конца. Узор взяла из модели Верены 2013 <a href="http://www.ravelry.com/patterns/library/-06-beena">Beena</a> только там используется секционная пряжа, а у меня была однотонная. В узоре решила чередовать цвета, поочередно меняя и цвет и рисунок. Похоже на ковер немного)))) но мне нравится.<br />
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О пряже: это <b>Felted Tweed DK Rowan</b>, трех цветов. В составе альпака, меринос, вискоза. Пряжа уже немного подваляна перед вязанием, поэтому очень хорошо сцепляется между собой в жаккардах. Вязать было удобно, легко, сейчас в носке немного колется и все-таки лезет ворс, но мне сказали что это пройдет. Уже в процессе работы постирала жилет 3 раза, после каждой стирки полотно становится все мягче и однороднее.<br />
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Очень интересный опыт, и спасибо обстоятельствам, желаниям и всем сопутствующим событиям, что удалось сделать всё до победного конца))) и у моей любимой юбочки теперь есть достойная пара.<br />
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А сейчас у меня на очереди - шарф для старшей дочки с эмблемой любимой группы и кардиган <a href="http://www.ravelry.com/patterns/library/beaub">BeauB</a>, будет сочетание черного и ярко-пурпурно-фиолетового! цвет никак не улавливается на фото, но это именно такой же яркий и красивый оттенок как у цветков статицы... которые мне недавно подарили :)<br />
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Всем желаю удачных проектов!</div>
desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com14tag:blogger.com,1999:blog-9035988071494171190.post-2259532296986393082016-01-27T22:38:00.000-08:002016-01-27T22:38:38.578-08:00Жилетная тема<div dir="ltr" style="text-align: left;" trbidi="on">
Привет! У меня небольшой проект, жилетик по описанию <a href="http://www.ravelry.com/patterns/library/take-to-heart">Take to Heart</a> Лены Родиной,<br />
модель очень понравилась, ну и пряжа Cotton Merino Katia моя любоффь навеки :)<br />
Расход 8 мотков, спицы 4.5 мм.<br />
Впервые сделала модель с элегантной застежкой на спинке на бантики, всю жизнь мечтала правда!<br />
Отправила жилетик в подарок сестре, в знак моей большой любви))) к 14 февраля.<br />
А теперь картинки!<br />
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1201602" target="_blank"><img border="0" height="500" src="https://img-fotki.yandex.ru/get/67698/121642959.f/0_1255c2_e8516d9c_L.jpg" width="343" /></a>
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1201609" target="_blank"><img border="0" height="500" src="https://img-fotki.yandex.ru/get/64120/121642959.f/0_1255c9_c388f36_L.jpg" width="375" /></a> <a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1201610" target="_blank"><img border="0" height="500" src="https://img-fotki.yandex.ru/get/68556/121642959.f/0_1255ca_1e94a75e_L.jpg" width="375" /></a> <a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1201604" target="_blank"><img border="0" height="500" src="https://img-fotki.yandex.ru/get/69089/121642959.f/0_1255c4_548fcfb0_L.jpg" width="375" /></a></div>
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Мне нравится то что вроде бы жилет широкий, но в нем чувствуешь себя очень стройной, а знание какая красота открывается на спинке - делает взгляд загадочным и томным))))))<br />
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А теперь, когда жилетик полетел в Сибирь, я могу спокойно заняться своим долгостроительным жилетом...<br />
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Буду пробовать делать стики впервые, разбираюсь самостоятельно по описанию к жилету <a href="http://www.ravelry.com/patterns/library/ivy-league-vest">Ivy League Vest</a> by Eunny Jang. Самое интересное впереди! :))<br />
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Приятных и интересных вам проектов!</div>
desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com18tag:blogger.com,1999:blog-9035988071494171190.post-48457019030551519882016-01-19T00:50:00.000-08:002016-01-19T01:02:46.732-08:00А я решила повалять... и не дурака!<div dir="ltr" style="text-align: left;" trbidi="on">
Всем привет!<br />
Поздравляю всех с прошедшими праздниками! И действительно - так быстро прошедшими!...<br />
В эти праздники мне дали повязать ровно два дня. И я придумала себе быстрый и очень красивый (без ложной скромности) проект, вернее, выбрала у дизайнера Niсky Epstein.<br />
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Хочу сразу сказать, я с настороженностью отношусь к валянию, мне оно не совсем по душе, вещь кажется "сто лет носили" и мне не кажется это красивым и уютным, такой чуть свалявшийся вид. Но я знаю, что при этом получается очень теплое непродуваемое полотно!<br />
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А в эти зимние каникулы Москва была очень красивой...!<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgveZqXOFqIn57NKKxGwYbDbrhkpasr4XLiDfW-VxYA4Gs53L_1p-fHIjt8R4cj7q-pfG-UUsDqD32kFo954JxJO8CWon90AE9hOxwEqDkMaKRbYjvkCJqQuqt5umiosYq5duPspT2FQBM/s1600/image-95bd9fcec99a51030546d710c025a2c023faba59dfd1bb26108e7dfb1b181bd0-V.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="480" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgveZqXOFqIn57NKKxGwYbDbrhkpasr4XLiDfW-VxYA4Gs53L_1p-fHIjt8R4cj7q-pfG-UUsDqD32kFo954JxJO8CWon90AE9hOxwEqDkMaKRbYjvkCJqQuqt5umiosYq5duPspT2FQBM/s640/image-95bd9fcec99a51030546d710c025a2c023faba59dfd1bb26108e7dfb1b181bd0-V.jpg" width="640" /></a></div>
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Мы бегали по разным светящимся красивым местам, и не заметили как ребенок отморозил щеку... это со мной впервые! Я двоих детей в Сибири растила и ничего подобного с ними не было, никто не укутывал никакие щеки и носы. А здесь, в Москве, совсем другие холода, ветра, влажность, - и на! тебе!<br />
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В общем, оказался очень нужен теплый непродуваемый шарф, и тут всё совпало, мне выпало немного времени и я села за машину!<br />
Купила вот такие пенопластовые шарики<br />
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<a href="http://images4.ravelrycache.com/uploads/dezdemona/349162430/1169221_1675743365999521_188307199_n_medium2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="http://images4.ravelrycache.com/uploads/dezdemona/349162430/1169221_1675743365999521_188307199_n_medium2.jpg" height="320" width="320" /></a></div>
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резиночки у меня нашлись... (девчонки из них "вяжут"),<br />
первый образец из 80% ангоры (на горьком опыте знаю, она сваливается очень хорошо!):<br />
до валяния и после:<br />
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Образец дети сразу куда-то "заныкали", считала для шарфа всё по этим картинкам.<br />
В общем, в итоге получился вот такой шарф:<br />
до валяния:<br />
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После, и на хозяйке:<br />
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На фото никак не удается передать пушистость ангоры. А на улице когда падает снег... и ложится на эти пушинки... ах какая красота! но снять не удается, бежим-бежим...<br />
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Вот, и сразу по горячим следам я решила поэкспериментировать с другим составом: у меня была красная бобинная пряжа неизвестного состава (в 5 нитей) и к ней подобран мохер на шелке. На максимальной плотности 10* получился тугой образец, одну нить пришлось убрать, докупить мохера! (его ушло больше 4-х мотков а у меня было только три, думала хватит, наивная!), и вот что вышло:<br />
до валяния:<br />
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после валяния, окончательный вид:<br />
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<a href="http://images4-b.ravelrycache.com/uploads/dezdemona/350863988/IMG_20160116_201440703_medium2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="http://images4-b.ravelrycache.com/uploads/dezdemona/350863988/IMG_20160116_201440703_medium2.jpg" height="400" width="225" /></a></div>
Фотографировала телефоном, фотоаппарат не передает цвет совершенно, и высвечивает фактуру.<br />
Вот такой получился красавчик<br />
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Эти оба шарфа по описанию из книги Niсky Epstein - Knitting Never Felt Better - модель с обложки! А какая она там красивая....!!<br />
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Мне очень понравилось валять :) Интрига до конца проекта! Ходишь возле машины в нервном ожидании, кругами... потом достаешь! разворачиваешь! И ахаешь!!! :))<br />
Валяла в режиме "быстро 30" добавляла температуру до 40 градусов, и обороты до 1000 для отжима.<br />
Описание на русском есть <a href="http://vrukodelii.com/sharf-s-tsvetami-dva-v-odnom/">здесь</a>.<br />
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Желаю всем приятных и радостных проектов!</div>
desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com10tag:blogger.com,1999:blog-9035988071494171190.post-5257522057492287802015-12-28T01:36:00.000-08:002015-12-28T01:36:19.228-08:00Снуд "Вяжу настроение" в новой технике <div dir="ltr" style="text-align: left;" trbidi="on">
Всем привет!<br />
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О новой технике Puff Color Knitting я узнала на мастер-классе Лены Родиной в салоне "Трискеле", это техника вязания спицами, в которой создается рельефный узор из вытянутых петель, и мы собирали их в цветы и соцветия.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiSBXrZL2PPbYqvGouOttVE32iRhmWnNU0Eb8r9Y3TAXTyYuGG2qDqwN3s-qKXCZy9a_DPdth21BvlyIpg5HnsDxMzBXGCIDZntfh4BIpBzew8K7nje6hM8Q7n5s5IFpkTxRIAIPT23Pk0/s1600/13.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiSBXrZL2PPbYqvGouOttVE32iRhmWnNU0Eb8r9Y3TAXTyYuGG2qDqwN3s-qKXCZy9a_DPdth21BvlyIpg5HnsDxMzBXGCIDZntfh4BIpBzew8K7nje6hM8Q7n5s5IFpkTxRIAIPT23Pk0/s400/13.JPG" width="400" /></a></div>
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Вязать оказалось очень удобно из таких вот коробочек, если брать нитку из центра мотка, ничего никуда не убегает и не путается. Вязать можно сразу от всех клубков.<br />
Вот такой образец у нас был:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjW1BuIR-4tcimvXkZQ10n6JSdKqkNVX0KGa2wD7avC4I4S6On7Lvh7mOOZUo3Oa8pqM_qFmDA-KeEqbRMgGdx978pB_JO5YiUZvluFLSclct5Cygca7yBwljNfsUzk4qImDwSR0-Lrm6A/s1600/10.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjW1BuIR-4tcimvXkZQ10n6JSdKqkNVX0KGa2wD7avC4I4S6On7Lvh7mOOZUo3Oa8pqM_qFmDA-KeEqbRMgGdx978pB_JO5YiUZvluFLSclct5Cygca7yBwljNfsUzk4qImDwSR0-Lrm6A/s400/10.JPG" width="400" /></a></div>
но каждому была предоставлена полная свобода, и коробочки с остатками пряжи мы забрали домой, и по прошествию времени, немножко смещается погода, настроение, у нас в Москве не было снега, и мы вязали цветы<br />
(а кстати в "Аптекарском огороде" нашем расцвели подснежники! аномально высокая температура!)<br />
у меня было вот так:<br />
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<a href="https://scontent-frt3-1.cdninstagram.com/hphotos-xta1/t51.2885-15/s640x640/sh0.08/e35/12331596_105190546522665_609254974_n.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="400" src="https://scontent-frt3-1.cdninstagram.com/hphotos-xta1/t51.2885-15/s640x640/sh0.08/e35/12331596_105190546522665_609254974_n.jpg" width="400" /></a></div>
тут начало "ромашек" :) потом я придумала связать те самые подснежники, чтобы запомнить что в этом новом году они на самом деле цвели, "просто потому что какая-то сумасшедшая захотела подснежников посреди зимы!"<br />
а потом все-таки завалила всё снежными хлопьями,<br />
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Ну и закончила изнаночную сторону гладью из остатков. Люблю извязывать остатки, прямо удовольствие получаю, а в каждой полосочке - воспоминание о какой-то вещи, ставшей любимой!<br />
Хотела сначала подарить этот коул, но из-за многочисленных воспоминаний и смыслов, заложенных в нем, прямо скажем, связанных, - оставлю себе.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhzy4j2IphX3Q7Ct9D352xcK0fTZXsD-oBsAK95iCGygbWLtMv3TmngxacTfSZohiF0ZOrQZmY0Mx_p1TzMyFDvw7X_BjdmuHKegDTWD_BOImz3G-SBTejpb5ojd3fLV6tLy3dV_YEkN5o/s1600/cowl-front.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhzy4j2IphX3Q7Ct9D352xcK0fTZXsD-oBsAK95iCGygbWLtMv3TmngxacTfSZohiF0ZOrQZmY0Mx_p1TzMyFDvw7X_BjdmuHKegDTWD_BOImz3G-SBTejpb5ojd3fLV6tLy3dV_YEkN5o/s400/cowl-front.JPG" width="400" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgzkVYJYdRRlhRjV-z6REzhAxs9JbaS0PKIttVbE7FAcPLDWakbiCh0NGMzbj92idVOWLyC_0Cgwzl5zbRSqe0xlRNPno3RpIqAKzhTBlSfqGqNuuidEmJ4W205l1sIYWnu-CRZE6H4AW0/s1600/cowl.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgzkVYJYdRRlhRjV-z6REzhAxs9JbaS0PKIttVbE7FAcPLDWakbiCh0NGMzbj92idVOWLyC_0Cgwzl5zbRSqe0xlRNPno3RpIqAKzhTBlSfqGqNuuidEmJ4W205l1sIYWnu-CRZE6H4AW0/s640/cowl.JPG" width="536" /></a></div>
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Вот такая изнанка:<br />
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Что еще... еще связала вот такой платочек, попробовала ленивый жаккард, понравилось, но больше не буду :) слишком для меня сложно и долго показалось вяжется.<br />
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<span style="background-color: white; font-family: proxima-nova, 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 15px; line-height: 18px; text-align: left;">шаль <a href="http://www.ravelry.com/patterns/library/the-love-of-spiders">The Love of Spiders</a> автор Melanie Berg</span></div>
Пряжа здесь кашемир и темно-бордовая - вискозная лента, вот уж что точно больше вязать не буду, приходилось каждый раз мазать руки кремом чтобы не цеплялась, уж для шали точно не лучший выбор.<br />
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Всем желаю творческих удач, и с наступающими праздниками и длинными выходными! Ух повяжем, правда? Только дадут ли?! :)</div>
desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com17tag:blogger.com,1999:blog-9035988071494171190.post-2702900403783731092015-11-21T00:10:00.001-08:002015-11-21T00:11:26.617-08:00Хиппи-свитер<div dir="ltr" style="text-align: left;" trbidi="on">
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Затянула меня интрига - вязание из <a href="http://triskeli.ru/collection/rasprodazha-pryazha-po-lotam">наборов Трискеле</a>, купила себе один наборчик, не устояла. В моем наборе было 18 мотков и большой простор для фантазий. Вот такой:<br />
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В нем: 4 мотка полушерсти секционной (очень мягкая приятная пряжа), 2 мотка мериноса бордо, а остальное для декора - 2 мотка ленточной вискозы, 2 мотка вязанного шнурочка с люрексом, 2 мотка мохера на шелке с пайетками (очень мне понравился, в нем шелк какой-то толстый, заглаженный, очень явно виден!), 3 мотка травки двухцветной и 1 моток декоративной ленточки-тесьмы (там ровничные шерстяные нитки прострочены волной, очень красивая!).<br />
Представляете что можно из этого всего понавязать!! ))) понапридумать!!<br />
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Ну и так как я решила вязать дочке, то и фантазировать мы стали вместе. Она полистала журнал FaM и отметила опушку в этой модели<br />
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и дальше уже была моя фантазия. Начала с рукава:<br />
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Мохер сложила в три нитки для фактурного платочного рубчика. Вискозную ленточку прихватывала через 8 рядов и вывязывала "птичку" из вытянутых петель.<br />
Прикладывала к выкройке летней расклешенной туники:<br />
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На груди сделала защипы как и в силуэте туники (так чтобы дальнейший рисунок "птичек" не сбился)). Объединила с рукавами, начала меховую опушку<br />
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"Травку" ввязывала через ряд с бордовой ниткой, чтобы в этом месте свитер не был холодным.<br />
Ну и дальше как в оригинальной модели продолжила регланные линии и связала воротник.<br />
Даже нашлись подходящие по цвету хиппи-штанишки)) </div>
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Ну и вот такая получилась хиппи-принцесса</div>
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<a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1172748" target="_blank"><img border="0" height="500" src="https://img-fotki.yandex.ru/get/15577/121642959.e/0_11e50c_c98c4112_L.jpg" width="282" /></a> <a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1172749" target="_blank"><img border="0" height="500" src="https://img-fotki.yandex.ru/get/5007/121642959.e/0_11e50d_f9f614e1_L.jpg" width="282" /></a> <a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1172752" target="_blank"><img border="0" height="500" src="https://img-fotki.yandex.ru/get/15595/121642959.e/0_11e510_ee52a2ce_L.jpg" width="282" /></a> <a href="https://fotki.yandex.ru/next/users/sacha-dedova/album/139686/view/1172750" target="_blank"><img border="0" height="500" src="https://img-fotki.yandex.ru/get/4904/121642959.e/0_11e50e_8dbf7f00_L.jpg" width="282" /></a></div>
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Свитер получился теплым, и я рада что больше не надо искать идеи для теплого свитера для этой зимы, ура! :) Может быть еще связать меховые кармашки... Ушло пряжи меньше половины, "травки" всего один моток.</div>
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desdemonahttp://www.blogger.com/profile/09680223760030589967noreply@blogger.com14