基于Stearns-Noechel模型的双通道环锭数码混色纱颜色预测

为研究环锭数码纺制备混色纱的纤维配色规律，梯度配置品红、黄、青三色纤维混纺比，纺制3种纯色纱线及两色混色纱线。在环锭数码纺混色纱的结构特征基础上，利用Stearns-Noechel模型对其混色效应进行了探究和预测，提出并对比分析了基于最小色差法和波长法2种方法优化Stearns-Noechel模型参数。结果表明：Stearns-Noechel模型适用于环锭数码纺制备的混色纱；基于最小色差法得出的样本平均色差为1.80，基于波长法得出的样本平均色差为1.46，均优于经典混色模型；基于波长法的结果优于基于最小色差法，前者优化的模型中所有混色样色差平均值梯度占比均有所提高，优化方式效果显著，更适合环锭数码纺混色纱的颜色预测。

Color prediction of double channel digital ring spinning melange yarn based on Stearns - Noechel model

In order to study the color fiber matching rules of the melange yarn spun by digital ring spinning, three kinds of solid color yarn and two colors melange yarn were spun by gradient configuring the blend ratio of magenta, yellow and cyan fibers. On the basis of the structural characteristics of melange yarns produced by digital ring spinning, the blending effect was explored and predicted by Stearns-Noechel model. Two methods of the minimum chromatic aberration and the wavelength was put forward and compared to optimize the Stearns-Noechel model parameter M. The results show that the Stearns-Noechel model is suitable for melange yarns spun by digital ring spinning. The average color difference of the sample is 1.80 with the minimum chromatic aberration. The average color difference of the sample is 1.46by the wavelength method. The two methods are superior to the classical color matching model, and the method based on the wavelength is better because the proportion of the average color gradient of all samples increased. It is more suitable for the color prediction of the digital ring spinning melange yarn.