Premium
K‐M theory of fabric knitted by three‐channel rotor spun wool yarn
Author(s) -
Yang Ruihua,
Xu Yaya,
Deng Qianqian,
Xie Chunping,
Gao Weidong
Publication year - 2019
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.22317
Subject(s) - wool , yarn , mathematics , rotor (electric) , component (thermodynamics) , composite material , matching (statistics) , channel (broadcasting) , approximation error , materials science , algorithm , statistics , computer science , engineering , physics , mechanical engineering , computer network , thermodynamics
Two‐component and three‐component color blended yarns were spun by red, yellow, and blue wool slivers using a three‐channel rotor spun machine, and the corresponding plain fabrics were knitted. The color‐matching models of K‐M theory were built with the relative method and the least squares method, respectively. Colors and blending ratios of the fabrics were predicted by the model. The results showed that the average color differences of the samples predicted by the two methods are both about 1.0 and the mean value of the proportional error is below 3%. The least squares method has a better color‐matching effect for the three‐component sample, and the relative value method has better color‐matching results for the two‐component sample. When the tolerance range is 2.0, the pass rates of the samples predicted by either the relative value method or the least squares method reach 100%.