Wet-steaming dyeing prediction model of cotton knitted fabric with reactive dye based on least squares support vector machine

被引：0

作者：

Tao K. ^{[1
]}

Yu C. ^{[1
]}

Hou Q. ^{[1
]}

Wu C. ^{[1
]}

Liu Y. ^{[1
]}

机构：

[1] College of Materials Science and Engineering, Shanghai University, Shanghai

来源：

Fangzhi Xuebao/Journal of Textile Research | 2019年 / 40卷 / 07期

关键词：

Cotton knitted fabric; Least squares support vector machine; Multi-factor model; Reactive dye; Wet-steaming dyeing;

D O I：

10.13475/j.fzxb.20180602805

中图分类号：

学科分类号：

摘要：

Aiming at the problem of hard control and prediction of dyeing conditions on the color of dyed fabrics in the continuous wet-steaming dyeing of cotton knitted fabrics with reactive dye, the influences of sodium sulfate concentration, soda concentration, and steaming time on the color depth (K/S value) of the dyed fabrics were studied in the wet-steaming dyeing process of cotton knitted fabrics with Remazol golden yellow RGB. At the same time, based on least squares support vector machine (LS-SVM), using these factors as the input variables of the prediction model and the K/S value of fabric color depth as the output variable, a multi-factor model of K/S value was established to predict K/S value. The experiment results show that the correlation coefficient between the experimental value and the predicted value of the model is 0.999 6, and the mean relative error is lower than 1%, which indicates that the model has high accuracy. The modeling method can be applied to predict the K/S value of fabric, providing a basis reference for the optimization of the wet-steaming reactive dyeing process conditions for cotton knitted fabric. Copyright No content may be reproduced or abridged without authorization.

引用

页码：169 / 173

页数：4

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