纯棉色纺纱配色中的Stearns-Noechel模型参数优化

为实现棉色纺纱更精准的配色，以色纺纱配色中常用的光学 Stearns-Noechel 模型为基础，采用青、品红、黄、黑、白5种颜色的棉纤维，按照不同组合方式不同混合比例进行纺纱制样，并利用分光光度仪测量光谱反射率值。针对 Stearns-Noechel 模型中的待定参数，结合数理统计分析法进行优化，得到3个新的修正模型。结果表明，将颜色分为非彩色和彩色系列研究，所得到的参数值更加合理，对应的修正模型在配方预测上更加精确，利用该模型得到的预测样与标准样之间的色差在3个修正模型中最小，总平均色差0.75 (CMC(2:1))，可满足棉纤维配色中的色差要求。

Parameter optimizing of Stearns-Noechel model in color matching of cotton colored spun yarn

In order to achieve more accurate color matching of cotton colored spun yarns, based onStearns-Noechel model,a common optical model used in the field of color matching of colored spun yarns with different coloredmonochrome cotton fibers including cyan, magenta, yellow, black and white cotton fibers were firstly utilized to blend into yarn samples according to different mixing ratios and different combinations. Second, the color reflectance values of the samples were measured by the spectrophotometer. Thirdly, theStearns-Noechel model was introduced and its pending parameter was optimized by mathematical statistics analysis, three new modified models corresponding to different parameters were eventually constructed. The results show that the modified model is more accurate in predicting the formulationof samples when the color samples were divided into achromatic and chromatic series, and the color difference of the formulation between thepredicted and thestandard sample is the smallest among the three modified models. The average color difference is about 0.75 (CMC(2:1)), whichsatisfies the requirement of cotton color matching.