In this study, a reliable model for determining the relationship between yarn construction and textile color was designed. It is crucial to create coloration using a sustainable spinning method. Melange colorful yarns were produced using three-color viscose staple fibers (red, yellow, and blue) at a ratio gradient of 10% with digital rotor spinning, and then fabrics were knitted using these yarns. Based on the Stearns-Noechel model, a color prediction model suitable for the yarn-forming method was established using experimental data measured by a Datacolor650 spectrophotometer. The research results show that when the value of empirical parameter M is 0.136, the model has the best color matching effect; the average ratio error between the test and predicted values of the test sample is 7.89%; the average color difference is 0.320; the color difference of each sample is less than 1. Moreover, the linear correlation between M value and the wavelength is weaker, and there is a good linear correlation only when the wavelength is above 600 nm. A quadratic function can better explain this relationship.

在这项研究中，设计了一个可靠的模型来确定纱线结构和纺织品颜色之间的关系。使用可持续的纺纱方法进行染色至关重要。使用三色粘胶短纤维（红、黄、蓝）以10%的比例梯度通过数字转杯纺生产混纺彩色纱线，然后使用这些纱线编织织物。基于Stearns-Noechel模型，利用Datacolor650分光光度计测得的实验数据，建立了适用于成纱方法的颜色预测模型。研究结果表明，当经验参数M取值为0.136时，模型配色效果最好；测试样本的测试值与预测值的平均比误差为7.89%；平均色差为0.320；每个样品的色差小于1。而且M值与波长的线性相关性较弱，只有波长在600nm以上才具有良好的线性相关性。二次函数可以更好地解释这种关系。