1. Kubelka-Munk double constant theory of digital rotor spun color blended yarn.
- Author
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Yang, Ruihua, Xu, Yaya, Xie, Chunping, and Wang, Hongbo
- Subjects
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SPUN yarns , *LEAST squares , *YARN , *BLENDED textiles , *BLENDED yarn , *SPINNING (Textiles) - Abstract
Abstract Different colored fibers were blended into yarns by digital rotor spinning to meet the market demand of multi-species and small-batch production. In order to study the color blending effect of spun yarn, two-component and three-component blended yarns were obtained by red, yellow and blue slivers, and woven as fabrics. Parameters of K-M double constant theoretical model were calculated by the color characteristics of fabrics. The absorption coefficient (K) and the scattering coefficient (S) of the monochromatic fiber were calculated by the method of least squares and the method of relative value, respectively. According to the above methods, two Kubelka-Munk double constant color blending models were built. The two models were used to predict colors and blending ratios of fabrics. The results show that the K-M model established by the least squares method can better predict color blending effect and the blending ratio of digital rotor spun yarn. Highlights • A smart and sustainable spinning for colorful textiles was introduced. • K-M model of digital rotor spun yarn were built by the relative value method and the least squares method respectively. • The blended fabric color and blending ratio were calculated and predicted. • Compared with relative value method, K-M model built by least squares method can better predict the color blending effect. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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