面向全色域转杯纺纱的Kubelka-Munk双常数理论模型构建及颜色预测  

Kubelka-Munk dual constant theory for the construction of full color gamutrotor spinning and color prediction

作　　者：汪燕燕 薛元 陈宥融 石焕强 WANG Yanyan;XUE Yuan;CHEN Yourong;SHI Huanqiang(College of Textile Science and Engineering,Jiangnan University,Wuxi 214000,China;Zhejiang Taitan Co.,Ltd.,Shaoxing 311800,China)

机构地区：[1]江南大学纺织科学与工程学院,江苏无锡214000 [2]浙江泰坦股份有限公司,浙江绍兴311800

出　　处：《现代纺织技术》2024年第3期1-13,共13页Advanced Textile Technology

基　　金：浙江省“尖兵”“领雁”研发攻关计划项目(2022C01188)。

摘　　要：为了能在色纺纱的纺纱阶段即时调控纱线颜色,减少混色成本,缩短工艺流程,结合三通道数控转杯纺纱的特点构建了全色域网格化混色模型,该模型可在纺纱过程中进行全色域范围内的色相调控、明度调控和彩度调控。为了解决色纺纱的测配色问题,得到与之相匹配的测配色系统,根据来样快速进行计算机测配色,节约成本,结合传统Kubelka-Munk双常数理论模型的特点,从构建的全色域网格化混色模型中选取混合样来进行颜色预测。从传统Kubelka-Munk双常数理论模型颜色预测的结果发现,部分混合样的预测反射率明显低于实际的反射率,针对这个问题,重新构建了新的Kubelka-Munk双常数理论模型来进行颜色预测得到新的预测反射率,并用插值替换的方法,把传统Kubelka-Munk双常数理论模型预测结果中明显低于实际反射率的部分用新的预测反射率替换,得到最终的混合样预测反射率。结果表明:与传统的Kubelka-Munk双常数理论模型预测混合样颜色结果相比,新的Kubelka-Munk双常数理论模型预测颜色并用插值替换法替换后得到的最终的混合样的颜色,色差平均值从1.48降低到1.04,且所有混合样的色差均能控制在2.0以内。该预测方法较传统Kubelka-Munk双常数理论模型具有更好的预测精度,所构建的全色域网格化混色模型和新的Kubelka-Munk双常数理论模型可应用于多基色纤维混色色彩和混合比的预测。Due to the heavy workload and time-consuming and material-consuming of traditional manual color measurement and matching,color spinning technology came into being.Color spinning technology is a spinning technology that blends several colored fibers in a specific proportion to produce fashionable colors.The fabric and finished product made by using color spinning do not need to be dyed again and is considered a green ecological short process technology.However,due to the inability to freely control color during the spinning stage,the actual production and application of color spinning are greatly limited.To address this issue,a four primary color ternary coupling superposition full-color gamut grid-based color mixing model was first constructed,which can perform color phase control,brightness control,and chromaticity control within the full-color gamut range.On this basis,combined with the characteristics of the Kubelka-Munk dual constant theoretical model,84 grid point mixed sample formulas were selected from the constructed grid-based color mixing model,of which 54 mixed samples were used as measured samples.With a three-channel CNC rotor spinning machine as the platform,four primary colors of cyan(C),magenta(M),yellow(Y),and white(W)were used as raw materials.Based on the constructed full-color domain grid-based color mixing model and color mixing chromatography,we prepared actual spinning samples.Then,we measured the color values of 54 measured samples,and used the least squares method to calculate the K and S values of each primary color fiber,in order to achieve the prediction of full gamut color or primary color fiber mixing ratio.We also selected the remaining 30 mixed samples as prediction samples to verify the ability of the traditional Kubelka-Munk dual constant theory model to predict the color or primary color fiber mixing ratio.From the comparison between the predicted reflectance of the mixed samples and the actual reflectance,it is found that the predicted reflectance of some mixed samples is signi

关 键 词：色纺纱 Kubelka-Munk双常数理论 颜色预测 转杯纺纱 反射率 

分 类 号：TS104.1[轻工技术与工程—纺织工程]