An intelligent weavable dyeing method for the environmentally-friendly dyeing of fabric

Yarn-dyed textiles are complementary to digital printing textiles. They promise high production and environmentally-friendly energy efficiencies. However, the complicated structures of color-blended composite yarns cause unpredictability of colors in textile products. This has become a roadblock in the development of environmentally-friendly textile products. In the present work, we propose a framework for the intelligent manufacture of color-blended composite yarn by combining color prediction with a self-developed computer numerically controlled (CNC) ring spinning system. The CNC ring spinning system consists of a ring spinning machine and an online management platform which can regulate yarn production by changing the speeds of the rollers and spindle, monitoring yarn quality and setting operational parameters through on-the-fly control; thus, one can manufacture the fiber assembly with tunable structures. Furthermore, an analytical model is set up to predict the color blending effect of the multicolored fabric made up of color-blended composite yarns. The optimized blending ratios of composite yarns are obtained based on the proposed linear model of parameter b, which are used to produce the multicolored fabrics. Overall, our work establishes a basis for manufacturing textile products with high energy efficiency within an intelligent weavable and environmentally-friendly dyeing framework. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.

Automated summary

By combining color prediction with a self-developed CNC ring spinning system, we propose a framework for intelligent manufacture of color-blended composite yarns. The system can regulate yarn production by changing speeds, monitoring quality, and setting parameters, enabling the production of fiber assemblies with tunable structures.