Abstract
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.
Highlights
In textile printing, repeating patterns is an inherently limited approach due to the repetition of the same thing
Mixing various colored fiber components gives rise to different color appearances of yarns that can be manipulated through controlling the feeding speeds of rollers and the breaking and the main drafts of the drawing frame
The color appearance of yarn can be decomposed as the weighted-average R, G, and B values of various colored fiber components because of the additive optical natures, that is, absorption and scattering, of opaque fibers in the fabric, and as such, it provides the possibility to predict the color of the fabric
Summary
In textile printing, repeating patterns is an inherently limited approach due to the repetition of the same thing. The HSB color space consists of three independent signals such as red, yellow, and blue.[5] Design stylists separate the color of the artwork into composite colors based on a qualitative description of the HSB color space.[6,7,8] The color appearance of yarn can be decomposed as the weighted-average R, G, and B values of various colored fiber components because of the additive optical natures, that is, absorption and scattering, of opaque fibers in the fabric, and as such, it provides the possibility to predict the color of the fabric
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