【摘要】 以红、黄、蓝3色原液着色黏胶短纤维为原料，采用多通道转杯纺技术，以质量比为10%的梯度纺制66种混色纱线，制备针织物样品，利用分光光度计测试其颜色特征。对Friele模型的关键参数σ在[0,1]内进行赋值以预测样品色彩，计算得出σ=0.134时双组分混色样品平均色差最小；取该值构建基于Friele模型的多通道转杯纺黏胶织物配色系统，利用全光谱配色法和所建模型预测3组分混色样品的配方比例，所得预测比例与实际比例间的平均比例误差为10.21%,平均色差为0.456 1。研究结果验证了所建Friele模型的准确性，并为完善多通道转杯纺黏胶混色纺织品智能配色系统提供了依据。更多还原

【Abstract】 66 kinds of color blended yarns were produced by using red, yellow and blue dope dyeing viscose fiber on the multi-channel rotor spinning frame with a gradient of 10%. Knitting sample fabrics were made of blended yarn and then the color were measured with a spectrophotometer. In this paper, the model parameter σ of Friele model was assigned in [0,1], and the value of σ 0.134 was taken as the optimal value with the minimum average chromatic aberration of two-component mixed color samples, and a color matching system based on Friele model was constructed. Besides, the optimal σ value was verified by full spectrum color matching method. The error of average proportion between the tested value and the predicted value of the three-component mixed color samples was 10.21%, and the value of average chromatic aberration was 0.456 1. The result shows that the parameter of Friele model obtained in this paper have good prediction effect. It provides a basis to set the intelligent color matching system of viscose blended yarn in multi-channel rotor spinning.更多还原