|本期目录/Table of Contents|

[1]杨瑞华,徐亚亚,邓茜茜,等.三通道转杯纺混色毛机织物混配色研究[J].丝绸,2019,56(4):041103.
 YANG Ruihua,XU Yaya,DENG Qianqian,et al.Study on mixed color of fabric woven by three-channel rotor spun color-mixed wool yarn[J].Journal of Silk,2019,56(4):041103.
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三通道转杯纺混色毛机织物混配色研究(PDF)
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《丝绸》[ISSN:1001-7003/CN:33-1122/TS]

卷:
56
期数:
2019年4期
页码:
041103
栏目:
研究与技术
出版日期:
2019-04-20

文章信息/Info

Title:
Study on mixed color of fabric woven by three-channel rotor spun color-mixed wool yarn
文章编号:
1001-7003(2019)00-0000-00
作者:
杨瑞华徐亚亚邓茜茜 韩晨晨薛 元高卫东
江南大学 生态纺织教育部重点实验室,江苏 无锡 214122
Author(s):
YANG Ruihua XU Yaya DENG Qianqian HAN Chenchen XUE Yuan GAO Weidong
Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China
关键词:
三通道转杯毛纺纤维混色机织物K-M模型色差
Keywords:
three-channel rotor spun wool yarn fiber color mixing woven fabric K-M model chromatism
分类号:
TS 1 31.91
doi:
-
文献标志码:
A
摘要:
文章提出了利用三通道转杯纺纱技术生产纯羊毛混色纱,研究其对应的混色机织物的显色规律。利用红、黄、蓝三种颜色的纯羊毛粗纱纺制不同混色比例、相同纱线线密度的混色纱,并织成机织物。分别利用最小二乘法及相对值法建立Kubelka-Munk双常数理论关于三通道转杯混色毛机织物的混色模型,并对其进行模型验证,计算样本色差及混色纤维比例。结果显示:两种方法建立的混色模型,预测样本的平均色差均小于1,混色纤维的平均比例误差分别为1.77%、2.38%;利用最小二乘法建立的三通道转杯混色毛机织物的混色模型的预测样本色差及平均比例误差均比相对值法的小,预测效果更好。
Abstract:
The three-channel rotor spinning technology was used to produce pure wool color-mixed yarn, and the color development law of the corresponding color-mixed woven fabric was studied. The mixed yarns of different color mixing ratios and the same yarn linear density were spun by pure red, yellow and blue wool rovings, and woven into the fabrics. The color mixing model of Kubelka-Munk double constant theory about three-channel rotor spun wool yarn was established by utilizing least square method and relative value method respectively, and the model was verified. Meanwhile, the sample chromatism and the proportion of mixed color fiber were calculated. The results showed that the average chromatisms of samples predicted by the color mixing model established by the two methods were less than 1, and the average ratio errors of the mixed color fibers were 1.77% and 2.38%, respectively. The chromatism and the average ratio error of sample predicted by the least square method were smaller than those predicted by the relative value method, and the prediction effect of the least square method was better

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-07-26
修回日期:2019-00-00
基金项目:国家重点研发计划项目(2017YFB0309200);国家自然科学基金项目(51403085);中央高校基本科研业务费专项资金项目(JUSRP51631A);中国纺织工业联合会应用基础研究资助项目(J201506);江苏省政策引导类计划(产学研合作)项目(BY2016022-29);江苏高校品牌专业建设工程资助项目(PPZY2015B147)
作者简介:杨瑞华(1981—),女,讲师,主要从事纺织技术的研究
更新日期/Last Update: 2019-03-21