原液着色涤纶短纤维、纱线及织物的颜色预测  

Color prediction of polyester staple fibers,yarns,and fabrics colored with raw liquid

作　　者：项多闻 李少聪 王旭 方寅春 张文强 彭旭光 XIANG Duowen;LI Shaocong;WANG Xu;FANG Yinchun;ZHANG Wenqiang;PENG Xuguang(School Textile and Garment,Anhui Polytechnic University,Wuhu 241000,China;Chuzhou Seeker Non-dyeingColor Spinning Co.,Ltd.,Chuzhou 239000,China)

机构地区：[1]安徽工程大学纺织服装学院,安徽芜湖241000 [2]滁州霞客无染彩色纺有限公司,安徽滁州239000

出　　处：《丝绸》2024年第9期64-71,共8页Journal of Silk

基　　金：安徽工程大学横向项目(HX-2021-11-003);安徽工程大学研究生一流课程项目(2021ylkc009)。

摘　　要：为探究纤维在加工成纱线和织物之后的颜色差异,文章通过测色仪采集原液着色涤纶短纤维、纱线和织物的L、a、b值,并运用神经网络的方法实现纤维、纱线和织物之间的颜色预测。分别以纤维与纱线、纱线与织物、纤维与织物的L、a、b值作为网络输入和目标,比较了不同训练算法的网络性能;利用控制变量法调整神经元数量和传递函数等,以最小化均方误差与最小色差为目标,确定较合理的网络结构。结果表明:trainlm(Levenberg-Marquardt)训练算法的网络输出与目标之间的均方误差最小,适合作为网络训练算法。隐层神经元数量在100时,样本数据网络输入与隐层、隐层与输出的传递函数分别为tansig和purelin时,均方误差最小且预测与真实值之间的平均色差较小;3个训练组的平均色差均小于0.7,表明网络预测效果较好,研究结果在企业对于纤维、纱线到织物生产过程中颜色把控具有一定的参考价值。In the production process of raw liquid colored polyester,there will be color changes from fibers to yarns and from yarns to fabrics.The color changes of yarns and fabrics are often not caused by the color changes of the fibers themselves.There are many factors that can cause color changes,such as yarn thickness,twist,twist direction,and fabric structure.At present,the judgment of color changes from fibers to yarns and fabrics by enterprises mainly relies on manual experience,which is subjective and difficult to control.Therefore,accurately predicting the color patterns between fibers,yarns,and fabrics has practical application value for enterprise production.In recent years,many domestic researchers have developed many theoretical models for color prediction in the textile field.Traditional color matching models include the Friele model,Stearns-Noechel model,and Kubelka-Munk model,which have certain limitations.To control the regularity of color parameters L,a,and b in the production process of polyester fibers,yarns,and fabrics dyed with raw liquid,and to improve the accuracy of color prediction between fibers,yarns,and fabrics,this paper took the samples of polyester fibers,yarns,and fabrics dyed with raw liquids produced by enterprises as the research object and proposed a color prediction method based on neural networks,which are intelligent computing methods that simulate biological neural networks in computer network systems.Firstly,a colorimeter was used to obtain the L,a,and b values of 288 sets of color samples,each containing fiber,yarn,and fabric samples of the same color.Then,the samples were divided into three training groups,namely fiber yarn group,yarn fabric group,and fiber fabric group.Simultaneously,the data were input into the network for modeling,with fiber groups as inputs and yarn groups as targets;the yarn group served as the input,and the fabric group served as the target;fibers served as input and fabrics as target.Finally,the performance of the neural network was adjusted based on the a

关 键 词：神经网络 原液着色涤纶 均方误差 颜色预测 色差 

分 类 号：TS101.1[轻工技术与工程—纺织工程]