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亚麻棉混纺织物缩水率探究

发布时间:2015-06-11

棉麻混纺织物布身挺括、透气性好 、吸湿性强 , 穿着凉爽 、舒适 , 倍受广大消费者的青睐 。但是 , 该织物存在弹性差 、缩水率大等缺陷, 影响了其服用性能 。针对亚麻棉混纺织物的特点 ,结合我厂现有生产设备, 通过大量试验 ,制定了切实可行的工艺流程和工艺条件 ,确保织物缩水率稳定在经向 4 %、纬向 3 .5 %以内 。

1 试验
织物规格 91tex ×91tex 51 ×47 123 cm 亚麻棉(55/45)平布设备 LM A001-180 火口圆筒烧毛机、M082 煮布锅、LMH125-108 丝光机 、LMH722B-180 定形拉幅机 、M ATHER 多功能预缩机测试方法 缩水率按 GB8630 测定

2 结果与讨论
2 .1 烧毛 、煮练的影响
亚麻纤维含杂量高达 20 %~ 30 %, 其中果胶含量比棉高近 10 倍, 木质素含量比棉高 5 %~ 6 %, 脂蜡含量比棉高 0 .9 %~ 2 .8 %, 并且亚麻的结晶度、取向度、聚合度大 。按常规纯棉织物煮练工艺很难去除这些杂质。为了获得较好的前处理效果 , 我们制定了下列三种前处理工艺 ,处理后的结果见表 1 。
(1)火口烧毛※常规纯棉粗布煮练工艺
(2)圆筒烧毛 ※常规纯棉粗布煮练工艺 ※常规纯棉粗布煮练工艺(3)碱退浆※圆筒烧毛 ※常规纯棉粗布煮练工艺※常规纯棉粗布煮练工艺。

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

由表 1 看出 ,第三种工艺更适合亚麻棉织物的前处理,可以充分去除原坯的杂质 ,使织物具有较好的毛效 、白度 、手感和弹性。
2 .2 丝光的影响
丝光不仅可以保持织物的尺寸稳定性, 而且可以降低亚麻纤维的结晶度 ,提高亚麻纤维的化学活泼性,有利于后序染色。
固定淋碱浓度 35 g/ L ,改变丝光机两轧槽的碱浓度 ,结果见表 2 。

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

由表 2 知 ,碱浓度过高, 亚麻纤维过度收缩, 门幅不易打开且易纰裂拉豁, 织物手感较硬;碱浓度过低,不能形成碱纤维素, 达不到丝光目的。碱浓度以 140~ 160 g/L 为宜。此外合适的淋碱浓度, 不仅有利于保证下机布平整 、门幅稳定, 达到加工幅宽的要求, 而且不会因成品时伸幅过大而影响纬向缩水率。
严格控制两轧槽碱浓度为 140 ~ 160 g/L , 淋碱温度 60 ~ 70 ℃。不同的淋碱浓度, 结果见表 3 。

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z90CoeCy7mWsF90AlPqvc4svKvbboBtUPAbHbZvWl4KgAhFTwS+eWHH/7a41Dx4SaGUKrcT/KL6MX1sIDVm3D3qjf7sReI8Srcw7Kn1gY+1tU4Ki/Ov2GDoMLFC9u5pZ4UkRAAZserE1xrzsWOrAFi1JiLbTWroTO63z0/umHtMdfixqa6rCfCi/e8GWAfMVR4Q1DarY1JG+gl9BMHB1sC5Hk04jsHif2EXiIdAYDB+BMimhlkAOgLVRAxKmr02Cn2uIIGwGxwkJN6UEwFoGReXIpZunHTpk0blmBWXs4dHrkgfXFq3NJ+3QgAoy1Ck4/7iEf1e2NeLu2owDNCyoF1pe4afH9u1nndxpnw7E23tc8ZQACAkq25UmR4Jp9J7q+2F1ogEz4w3R/Ov4n5J3sOrHa//VyCGk75fZxuo680zFJXTSeweVSXwyK317yvaOilzWxNF6uvIMCniD3xT6s0wcp5dyIAtLL7YgrBhJGDejO9AspIg1k35U+/7kGY7SFqPJvUfOqptDoPHNciGa92Rn+2lbZhHGeKkZh0hg+rH9XGViytOeqZTVovi9UVfm7vvawyX31VRSlxUezeC489wvws9Y7uEFjPzb1R+Kh9NY3Vl+NmF9c+duEOrcpKnuu3v7DGpexBAasrwfyRw+u8JhJzIE2bX1gvrntY5yxCvJbYQfcmTgBa6R0BwYfv+8rs1I/djm6lk3MNxTcKK2g5jaxsoOTq8kk4NhNz7hzYtVtW7gO7dyubFFIAgBitvPlCBpmOd9y/8g9pp8bBEnPlHTJyCgryMtI467IhABjKN1I4E08EgP6kq+pW5VQARr2d1CLMj4vFdF53MAGAXBnimthBzNNf9+NK1VedLBYh8TzXb0JaQfUTroUkp6v/PfwCj9noKI7BrMH5NM/G+qx/HPNW9gDApM1kbv5zoRGaW9nLSxmDPYShT7/7Z5L7KMN/RZgTHDdJvixiU30XZVwZhNrb0kb61AlZpPb2gYl/8wiNNO5Gh7BG/T+D2D388nBiEGp3Y/MnYnNOTm5v6hpCgEVq7xic/lVAqIRe8keHI4yRhmFRBsa3wuizUkmUubjk3z/zWfYoKPMUVPYoKPMOVPYoKPMOVPYoKPMOVPYoKPOOiWX/3//+Vx4FBeWfhpKS0ufLnslkvkNBQfmnkZOT8/myR0FB+ReDyh4FZd6Byh4FZd6Byh4FZd7xKdkPL8KmNaWkNVAQYHbmJJf1fXq5M60uOq76E7azjK6CrLqPDCw40FtTYkrmuX0xCsrc8gnZI6QC0+M64Z2svrBjx18TAMgZOoeHPSSRwfJXLs4uzq421/WG93D2Bh7AWd9WuJDE3ndGxzudUrctZ2/u6vWV3GKKH3NLQPqL47JqmltaWlrq4zQ3KPpWt7S0NGQ53nYu/5dYGSPIl93KvrT8P4X5Us/Z5Mvb7NODfHJNWlkPuS0Yp2ITU9Hbk6Sr4v0+JzyjkwkACLM3SE7KvRMGEq5oWweEhoZ6XBEUve5orn3K+B276+5PMtR/Vfru+V07nyey3ErPg8PDA00PSRhkkQAAmHVP+babJ2Unu5xVeRiRkZ0RYnhUyyM5O6e4YZq+1KxmD03bGgYAALM33/vCJm4l2+S6ae+JnxVYvekmKth1i/6z6oB1GQUAgNnie2zT6pUrucWupEw9hEEG8h31Tx3EbuA96sq+fc6s/FzxUZ5DFS91r7/wdb2v9TSzf+o0v3Y9x8VHOv0Vfsf8vGDBggU/YLj1cib9IgkbZrPH/q2GRdSZ1+3rxh1VflbbbCLZI6RiV9PA6r6GhKgg8/2rJUzfZmeFXF//m8KL2LSCZgoCAJQMrd2WtTRGV6CiomlQkJPJ00fKKhE9xNauIQRYXWleoe8HBwqczc6d9q7JvrxePpgAMJD70iGdY9bAbLDcInnPM8j7piDXRdfQ0ACzPSsUHj5SU3lWOr3enhQnh1HNGrbAopXfWbVILY08aZFZZ6jC62VmPwJD7403/iQT1g9ALbO9G9k5bV/tvtLMOgoArdSIT9yplTXT8nPF+DyZjbaia68XUYHV+lJ0jV7+VLL62vUcF/9/B/L8E1rpAMCoNccqvZ7aR4PRFHZHeckyvcIhmGndvmrcUeVnuc0+sVynJeCK8avQ+Dq8PT+G55x5TG3q2d/+s9+5lqMzStap3zdo6ogLG5jswXlk1Hb11kVpHvbNtxSW9elEAPqicGL6blavmhlId9gpJePnpsl9CLnAXMu2kj3uZ1Qbi55IIgMx5thOzx4AetldacPiCY3s2FC7yvPLOoeGCN0kBIBV/3gxt33HyF+/jewRBsf6ipR0Yv3RuEEYKjaWWvojZvHW8+6jzG3IFV76J49rm4YU99BZA9nWj6LGXjx6Y6D+7ahOJnyi/PfCSJ49viIYibB+ABjK0fxzuRHbrv+b1/NDfA6MWnPswfARM9JP5Uer9bcILfLYyqVXOPSpun0Ok8edPKePys9ym31ykE+t9nPJLXNV34896RloY6WJ3YjVNzDNHAQAhJBsKMejHBBwQtXVdp/yOXFZDQV+JVWFm7dlj0dz7q1IX/IDy0LyYNrZXzEqcQUvTl83vm3klNM77NBScA1rUEwDSr6JrqVfaGiQ6yNDz8pPdfSULM21Mq4FfnsW8xy9Fd3JpCQoYHDvRl2QbyP7YQbTDZRMRuwq6V1pT+SW8hgUsP+BXmujeOhRQKjTbdzWZQswP3JrvO4apQZaa6Kp8hrMoj1O9YwJy38njMqTWmu88odDCSQAoFfcXfbTkSQSfPN6fhwfGHhz8f1hw25Gn8pvqMLDIrKVSfDbyqVXOMScsG6fw1RxJ8vp4/LDlZitNptQ9kwKsT3hjl5Q7Avbt75qF2LxMSbWrjonvBPu79OL7WExCI21QcfUAvyOK5nf3qN7T/maq+ExqxdSv/6hnjps794ZeFIjqj75kd6jKxIayQNtPkoKz2s+uL0So1X3B3T1F79yvKvzyMXPz9f27AqMbGAnE4BFqi+qJIyZAOz14sXg0gl5Z3/e4NoNrMYnS7hsO0Yf8A1lj/Rn2ZpGtIzJl1lvLSnn1zPtGKRsvXUitk0j/dRMy88V7Dz/X4srP0Y2agAAqAWX/1p8pWi6nw792vUcE5+Bt9imGNI7eQlaldUhlZtmFhaPVP7EbL368v+UOH1m3WYad2bl07qG/zI7bTah7GntyTf5efQCk/GUvki1Uy7hiQ19mddPBHf1JFlaJ3cDACFEYbu2lpiomuJZX/vdcheOHTIzFcNgAzu7Sku6aAOlbod+/Pu6T2AMntRou1MjmQT0OluJpbueFbPn3JgNjies2fNx5ELbOy/8HshK3M4hAwDQK034MD9gHRs/pIP05TtcOnH7pZN9ZD0VKAl7MUfSxo69Rsue2Rbrnv+59+gZgpDKA1++rqcCsEgtDQMjJpN4O5UbM/i6ItLpvR8XRhgZus20/FzByZNafmf9JvM6JgAhRGbJkYRpf0Xua9dzdHwG3kJMIWgK1QOLUBwVHBgYGOiqzfWr7JOIko6yz6zb7Mb9qPzIo8rstNnEg3xWk42YhE8PAPS9Pnk+fhCAkql/POjDPYYQoaaTUBt9R92kcKC9tL71ndlFw8BX2tvlVI45NzCBUfNojZA3AQBYDc9ExC48sI2sIRGStbl/3m5aOIgw21/d821gz8L3FziqbVr4q6CWR04H+5Nu/SXBlnZ5o748RcrQEVyxdOmyldz8CreD7i5eadM6Jltmb767ykKMlFl4bMwb79u7+C6kz0m/T6+13fULZuFfixcv/muJwLWc7pwb0tLnLP1DfRw9swlTT77Q8Y5HFc5ZBEQEO9u9aaIDeYbl54rxeQLSn3rriJ53Uvj9w2ruDVN+POBr1/Oj/ACAgbfYKus//U6RELh9zZVC6ozr9rXjDpef5Tb7xLM9uSI4uGoIAPpjtG6+IwOQU7WP+bSPnkpgdKSHxDfTARkofe0dWU1GABgtr65d9GxgAKMlQOt6GgkAWG2h2toBY+1J6c1xYSWtlVkJUYHOVjYhJQNMGGqMNsGJrljMfzG0sauqAD/mLR692l7jok0yvrsbH66j5FwxiUniN4Y11NveRZqJJWRPc0svdaSyMy0/V4zPEwCAOdDeMTDNVL92PSfIj07sI3/272QmdZuruLPaZtNenDs3NrMTQgiW5tbLIQEM4V/b+FZ93tMWCgrKMP+MNfn0rrxw/8DQ6LzOLx51oaCg/DNkj4KCMougskdBmXegskdBmXdMLHsqlXoXBQXln4aJicnny55Goz1HQUH5p+Hg4PD5skdBQfkXg8oeBWXe8cWyZ3RmvM7smuSjxoyu8vpJrDOYvWVFLegKHBSUOWRS2SMDRaGeAWERkZGREWG+L10DwyMjIyMjAk1xCjdTODsqhnKv7b5fRgN6faCJTUDkm1e2OpfHLMZFesPkfxK0r+/ICfX28vLy8nK3uaphVji8ap6SglutVUDtz/e0cXTz8PT09PT0dDW7cOxp0fe3FQVlfvPvMQCbbm/ParaTVo0b/PgP1AJDBeOCJnxbwX05w0Iq9AXvPxY5YmjCbA4xskzJc3kY2UkjdnSSmQBAScf9qZxMAQBqueOt+1obMHJXzh23q2iIfPrU1snJyfbeWcO43u+zgRnd+Z5aO/c7czZ3jjNKQoiFbk/t/YM9Ta8/SeiezorwyeOxupPNbll5uZvqatmXzumu4knz+gzTqrltNzajDam+JNZ0zaymuJYfGbDNZR3HMyPZvx0ne2pTSpiPkciKQyYvHMOi7++5xZa9ypsR2TNKL/++LaR/TClKuuoS1XQKAAy+PbzFMvi0iLHPCRGr+uJrPGezqABdjrxifn3wXcJikPL1uPgs6pgAHxsl9UcckjCpoAHS4al4OGw6VZg0Xm+ODo9cCAGA/v7ups1PquZwYfJkeeV2zNS0ao7bbQhgnCHVl8SatpnVpHEIHxmwzWkdxzN92b/YulXr7mUNXZuU9lG/P1rx1UUYOZM3Nf3lTxQnkH359cXbw8ZuLv4ge3LcMZFnw7LH519aJGLo7Olpc3r9vjef2o+MUFrfF+N76chQdxO+mUjuqKrqGEIQclN5DWFOZDFUpM/NuRQfGSUNVppiufdYJKXY6tx60zG8dWlys6lJ4qW6Cf+iEDUAAP1hUgu2+U+1eXzO6sk5ZJqmVVPHm7jdPj8/2jhDqqnymyxW/wzMrCaJ83//O86A7UvbbOI6TpcZDvLpra9O/oXZM6Jr2vsH/H9suOl/V0rRRF/xbvF42TMrbiyWnET2R4U4st987YnGBWNHxyf69+08HPTlcK96Pm5jSpGJ0hmfypaka7u1wzwUflxy6mV0sBb3+rP2kQl28qtVEiZ4CJltPlyKiQyY6Hh7ub8xC6Wf5hI56U9hNjVZvOiMG9x/KIV2MKlVFpsw2KA5HQFNVk/2EdMzrZpOvIna7Uvy65rAkGpSA6tJc4Npm1lNGWecAduXtNlEdZw+M3+2Z3TnZ7ZyOlZSjvHlh+flTcppCDFVa79TC2u87KtuLvm07AdjOIN87xObtc9uwKUM4o1FLuVQe1y3iPl0fWSuRYyS/1nEvw8YHQnukeVJx3/nd+lECD6Cf2pkUqglV5cLeMyBD9WHS4F0jDeXGqiyPqkX294UobOF+2ho17S2e08Wj0ptjH52U/+hlcnBZZstaid5XTL7TJYXAEzTtGp68Wa33XRCTMcZUk01fpj0GnCOmY6Z1VRxJjJgm6s6juVLpvQY7QkecXU5hvKP39PoleZHTMpowJZ9d1N6XjcDAJgV1yfr7VO01fwj1LgUju018DNYynfF4YncT1sMna1xvwu4veOYa32oD/HNbswW314AQCjdLQknlmwP7gOCj9Ay7QLqN5A90MaZS/1Pi9POnc6tLIDBpNPiWu+mNQk3STxOs9FrXuwWuJjQN7eTnFPlNT3TqmnFm+V2e9sw3pBqqvvI1NdgemZWk8YZZ8A213Ucy7Rl32i9Azd+So9BYwA1z2D3vahjkoEAAA2ZSURBVOKu1Pv6Ye0sAOgLVtwfXBejpRXehQAwyq4sEv8wpYcMVieEBz3gxeDeDd9FKSknBEzqEWb17ZVY82jv40t228SF6y0V8Oz6yFwLKAWPFJUtU97nvw2NTrWTwqx5kN2cabTiJ0Xv2lqfAz8tNcwe+MrGO/TOnOc7ML/jfEv7mB8bJTGa/LWO3w9OS/a5dcF8Wn5+k8cDendxmOXVi/cimufYZ2CKvGZsWjXH7cZmxNDqC2LNwMxq0jjjDdimMZc/m3Ucz3Rlz6i3V9KdyKJuKPeGgr6XX3AR590Go/WNsfYFrTs+lRQAYFRbKF4eXQzpf3eDh+tcyshdlJx4jOdeNZNRflsAF1rV0NDQ0NBQ7LBX7e3/9I831wIAAPpAW0vv55uXzz7jjZLoA109X+J9NCoetaumrvd7MRYZV88vMq2aIN5sttsXMzrWl5hZzbY516zF+/LFucMfyfxcmFTa9/mOHgXl3wq6Jh8FZd6Byh4FZd6Byh4FZd6Byh4FZd6Byh4FZd7xpbJnEspyG6e7NhAhN5Sxv3gFzJ78pPfD+5mGamJSmr/uSzlWX0ly6WRrGhiEysqeiV6WMQgtfaPWVdFaS/Ckj189fLIdGN1VTcPHIyR8QQ1xwiRondUdn9UCU8VHSPiChg9vUGnNKYnVE+Q/GzCpQ6MXoCGUhrwKAhMAgNaYlFJP+dYvbL7H/L5RTl8oe2aD5ZqFp5KH9cvekIwMFPnaOXt5+/r6+jrrb11/0Njd19fX19fb+d4JlYdZRACAoazTSw8OfxW7y4F77bNmJqks5HUtFQBgsMjd5R2BBbRye/2nnkFBQUFBQX6W505++IrxDGG1OAitOJ/A9ghg9eZGZPWMUx8pWY3vQvoES0Van61YrvbUhoP13V0YYT/C+IMmbAcAAGqeDs/+gA72NgxG1eOtxyJHL62ntWSkJb/2tL6refKSXVZFaUMfmUwmNqVHl3D2ViKDVYlR0eH2erp24TExMREvcGLn3n74eORU8QFpseVffb2QNPxNo/5XClIeXfCl0Jtj3Vx9AgIDA32tdU7efOkXGBjgYnTwsFkxBQAQMj4pPDzCQ0dk10Nfl4cmYVGGSibFFGD2lhW1z8mai+8xv+8pp8+SPbMnJyIoJDQ0NPDZ/oVcmi4hoaGhoaGhgS/OSRx2rKUDjPzwKbkGe5+Uc7JGaGTOK3qE2pNx8Y+16g6RPjY2Th42qj8vVH/h+sLMJiCbvbiYnKq+VvVNbrjrRUX7ZrZASfEaBwJntPoWGSwPc/cJDY+ICLbYu3zrDa+wiIiIiIjwIMd7BibhjcNdO4tQ8g5PJqVfkHxc2lnXPL4rbLdeOVr29+R/k48mTbcdqIU3RPaZON49fdUr0s/L/wVu7U6TwBD7y6eflVAAAAh+u+R9u9hnZDVZb9v99HV8/GuznXxGZaNGHki7+97T8SQAWrmxnHbGqNVPU8Wnld8Xljay1efB7AuO1t+va/PiPNfy02Y3JXkuZ3/ZN9Lp+ED7t+1MICWq8N4oowMxFiei+274tjlUF+sf5H4Fq2Tm6eieknRPScs5MtBIWuFBSH7P3HxU7XvM7/vJ6Ut6e6Qr9KikScVAwaMzNpVjb0h9gdtXn7L1dr4muOa8g7fNRYmjJu7uD8QxuyKJAMCss1czwG3cr3XsWnSqm4WNBe7nheo29o+vmWcMd2QIta85wTk6+urez5f9MIwmJ3msUUJFbW1tbU1JnFckfvRiRnq18fpl55Lb0y7uMK4gt0XdU8Xdi2lj37toZBKxwVv1jFVI+DABz4zcispCrMI+OAh9uh1ImXe0gztoXdlvy1rKMvDE6qe7LmcRSh0tYjrYlSL4yx+M4KxdZjXb7TqTTAIgp57dZdM0ajRCydIS00wjIaRswz13isj9TW2cwd8U8ZGuqJv3UwkdkQaP0gdIySdFLBoJEYf2+BS+9szu/9LhI7PejHsBLrUzUYX3RhmpxurgmdAPe2bJWYaakRXeJwyTEw1UHzqGJ/r5JvlqaIRPsK3ya/E95vfd5PT5skf6Y5Uwf55z8nM3FF58yNLHz+OhioYPZ3vRQND2Nc9ageC7fbsvgYk3Fj6TQaEV6mw4/Y4CwKh5ul3xgTrfxbh3ntYvXDw8HAxkFQxfeng4PT6ubFbM7oUY9b4mb5szdcTOWDs7+/q5O7sYbZfw7J55nrQqSxGM0LOM4uLi4uLigqhrgkoRo8bB/QkX5e4WDgE5/aKkcSUdAOmNOfkL5kBMPyDE0lAPD9sbl/TvPhjh7hW1M8YegaHx1aSp2oHRGm1pba+zUfCGV2RWU+FdcZzNjV36qYkGJ15Uc/pygp+k4FWP4ECX22ceJhXZTCx7VovLAdxTx4yevnwPe98AE7kNJ6J6kanjM7syPC1NLG1Mb99T5+I18VTdbBibYLJV0Mj1uVf5LJj19GdYu1X2JqrwXn9XEP62kc7sSbZyyCMiAEDFBz65KrMIs05B9bJbFRWopXc2LVf73K/F/4vy+05y+lzZM1pDr6gd5RPz6AFy6hns01oG9PpIyQ3vuhkIlVz/rBUI3kJLT1q7GCssV8ug0Ap11p/K4OxBoOZr82nmUGnV1ipaNj7+/v7+Ps9UBdQTh3feDGYYXQrvoTVGBaV67lVwDVZX8Hifm9060wXq9KawR/ccTbaJ3vSPiIiIiIgIe6khdC5t+DePEDNN9d1raQBATjsn8biSDkPlfq7J6e7ORZxjKKmqK1U8ktLirCQX47xS0qLv8vJYtYzcgCdrB4TaWVWS/FhY4om3tUtRV6mHg+PpXU+TEvPamjMS69iD/Gn09kh3iNrF2Pokc7dKKiDd4Rc1/FpZML34HAi+EhIOPodE7r80ccssCVFZrZ76BbJn9rxzs3np4eXl5eXl5XRtI0bqkZuXl5eXl6eHm298AxWARcj1NHvh91TpSmjAI4vQ1162LwLSou/vlTxw1bvyq3skfo/5fWc5feazfYazVWhd5ysF7CdlL73hWSsQvMX4HiTlh1/ccCqDQivUWaeWNlb2jPeG3NhbTh4eHh6uD3YuxqWSAQAZLLGRwvA4tSMAwKq3lDkXFaGu4DPjAT5CrIiLLu1n9frKKUVybpqsRhvZi8OyH6pLiMNzHnHJGVeP2VbUuCr8skjhWdGHB3xK2omle8z9grzvCC7YYxkQ5KbNze/SPb12YBHxpelmW2XsCyrzXnv7BTue5l5/QMs6INjTzjGyjgojskeorUUZBXnPOLJPPrvrxYjsmU2uaoaZZKC+t9GxSQ7UOeVQO/wgMWV8pDfLw/alq5uN2nLh589lDkRUBV93izbEXs6dNa/i4efU0e1Oanxfg88MD/T2CHodZHlJ7Z5vVGxMmK2+gWsafuIXGV+P7zG/b5/T58ieOdjaQUEA+kN2b3PvAXKKxseyD+H09mL8xhml0Vo8pzIotELtNaopHMUNy77CaO328bIHoGSeW3skngQASJur4pGw5ni27ElFIUXT2Zc5ll7v7SIT9/ajYfUk39steOh58dhdf9SyZ2dvOnj7ut3g/1nuiZevu7nOZS88bZrtANDrJ3swsDQrq4VGzrshox2f+czAf2RaAGmz34hZt+es0Ys3VSRGs92uMwkNWS7nNy099pZzm0J6442uhrQxAYDV4rwNs8qweKxiJ40/DMFXQkRXXcG2mdFsL/zbJjP87E0RTfAT5kCr9Xoa2kSpsVBQs4uMDrY0sMz84gmFf0d+3z6nL5nS6w9RUAgkADnphMi9jGQz2V8Wa+dy+s6+ILHFOjGFSQ/Wr3+QlB9+fqW8c1a296HFyonDss/R3Hg+m8p4bySqk0cFAGCU3eBT48ielHRO9mEZDShVzqdwz8uppKRTcq7tgLR5nTQpnnFH1estc2ikt6+32n1hnOyRwcowk4uqGg9eN4yPjRBLvK3t3L19R2Tv62F99657YfuoN6qTtAMgLc+5MdjHWZ01XheOPcoiIqzOEJwo7mUZ++aC9JelD79GHxnksxgjPX1bjJV9JoGFkKrCLQwNnr0tCNbZtVPDMqaqnzmN+IzmaFsre1c3N9srEoISyh6N3an3FLFYYRn9iFlbJkGKP8ytUzDRNRkqeqDm2UatsTr6sIT9d1pP21x39t9lft8+p1lYpTeYoIY1rmQAwvyghIHwvdjHSYVjyA26JH0zn1PZoSzt7YZFVFrpA0Xj9zSg1ofo8WME7JpHuiF6e3aYi41zchsdAJCehNu4Y8ePH9mLe5I9mWnxhHQFnrj2jgyAkGpeGUmtlnPj9IYIuTE3NsTT3sLCPalhIntEal2Eg52zm5ubm5ub89MLR69Zs//bVn/ffrPS8ZdtonYAYPXjS7Lf+jk4xw8rDSFmP5CXv5c+3i6H1WB/2GC0/wKrtyS9uLYoOeqVf2B89SDn4tPa4p+qHboWxgk3rfiMxojnDv6eNmYeBQMIkIot90vqp0zHvXVqKO+uq9rjxw4vEFJVbGjEmyA7M7eI6FDHp3bB0bGxsTGv3R/ecSmZ5FMpX4PvMb9vn9NsLM4d+zufv6DtgPIPAV2Tj4Iy75hY9mQy+SAKCso/jePHj3++7P/3f/83EQUF5Z9Gamrq58seBQXlXwwqexSUeQcqexSUeQcqexSUeQcqexSUeQcqexSUecf/BwNTI/Hr3d+hAAAAAElFTkSuQmCC

由表 3 知, 淋碱浓度 30 ~ 35 g/L , 温度控制在 60~ 70 ℃,丝光效果良好。
2 .3 柔软拉幅工艺的影响
在上述工艺条件下再进行柔软拉幅预缩 , 可以使亚麻棉织物获得较好的悬垂性和柔软性 , 进一步改善尺寸稳定性。采用不同的柔软拉幅工艺 ,结果见表 4 。亚麻棉织物在染整加工过程中, 由于经向处于紧张状态受到牵引而伸长 ,织物内部存在着潜在收缩应力,当织物遇潮或落水后经向回缩较大 ,而定形机轧柔软剂超喂拉幅, 可以充分消减经向的收缩应力 。预缩时通过预缩机橡胶毯的强伸缩特性 ,可使已给湿的织物受到挤压作用而达到预缩的目的 ,而后面的呢毯烘干装置又可使织物烫平 ,并赋予织物滑软丰满的手感 。

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

3 结论
3 .1 合理的前处理、丝光及后整理工艺可以使亚麻棉混纺平布的缩水率稳定在经 4 %、纬 3 .5 %以内 。
3 .2 必须严格控制丝光两轧槽的碱浓度为 140 ~ 160g/L 。

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美标缩水率洗衣机