New Color Mixing Model to Predict Mixed Color Values of Yarn-Dyed Fabrics

Abstract

Colored yarns interweaving in accordance with specific weave structure provides the opportunity for textile designers to create an enormous number of mixing color effects on fabric surface. The key point of this idea is to search an appropriate model to match the optical mixing color of a fabric with the targeted or desired color. Based on the present prediction models such as K/S , Log ( K/S ), S-N and Friele model for colored yarn mixing, this study proposes a new color mixing model with a variable parameter to predict optical mixing color values of yarn-dyed fabrics. In order to optimize the model and improve the adaptive capacity for different kinds of yarn materials, a constant σ is introduced. Using a fitting approximation algorithm, the optimal value of constant σ of the model can be found per different yarns and interweave density of fabrics. Compared with previous models, the new model has much lower color differences.