Yarn-dyed textiles complement digital printing textiles, which hold promise for high production and environmentally friendly energy efficiencies. However, the complicated structures of color-blended yarns lead to unpredictable colors in textile products and become a roadblock to developing nonpollution textile products. In the present work, we propose a framework of intelligent manufacturing of color blended yarn by combining the color prediction algorithm with a self-developed computer numerically controlled (CNC) ring spinning system. The S-N model is used for the prediction of the color blending effect of the ring-spun yarn. The optimized blending ratios of ring-spun yarn are obtained based on the proposed linear model of parameter W. Subsequently, the CNC ring-spinning frame is used to manufacture color-blended yarns, which can configure the constituent fibers in such a way that different sections of yarn exhibit different colors.

色织纺织品是数字印刷纺织品的补充，数字印刷纺织品有望实现高产量和环保节能。然而，混色纱的复杂结构导致纺织产品的颜色无法预测，并成为开发无污染纺织产品的障碍。在当前的工作中，我们提出了一种通过将颜色预测算法与自行开发的计算机数控（CNC）环锭纺纱系统相结合的方法来智能制造混纺纱的框架。SN模型用于预测环锭纱的混色效果。基于参数W的线性模型，获得了环锭纺纱的最佳混纺比。 随后，CNC环锭纺纱机框架用于制造混色纱线，该纱线可以以这样的方式配置组成纤维，即纱线的不同部分呈现出不同的颜色。