JOURNAL OF TEXTILE RESEARCH ›› 2018, Vol. 39 ›› Issue (06): 36-41.doi: 10.13475/j.fzxb.20170704906

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Prediction of color blending effect of digital rotor yarn based on Kubelka-Munk double constant theory

  

  • Received:2017-07-12 Revised:2018-01-26 Online:2018-06-15 Published:2018-06-15

Abstract:

In order to study the color blending effect of digital rotor spun yarn, color blended yarn were spun by red, yellow and blue rovings, and woven into fabrics, and the color characteristics of the fabrics were measured. On this basis the absorption coefficient and the scattering coefficient of the monochromatic fiber were calculated by the least squares method and the relative value method respectively, and two types of Kubelka-Munk double constant color mixing model were built according to the above mentioned methods. The fabrics color and blending ratio of colored fibers were predicted by those two models. The results show that the average color difference of the model established by the least squares method is 0.896 and the average ratio error is 2.84%. The average color difference of the model established by the relative value method is 1.35, and the average ratio error is 3.04%. Compared with the relative value method, the Kubelka-Munk double constant mixing model established by the least squares method can better predict the color blending effect and mixing ratio of digital rotor spun yarn.

Key words: digital rotor spinning, color spinning, Kubelka-Munk theory, color mixing effect

[1] . Analysis on blending effect of colored fiber in digital rotor spun yarn [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(07): 32-38.
[2] . Stearns-Noechel color matching model of digital rotor spinning [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(12): 27-32.
[3] . Preparation and antimicrobial property of silver-loaded color spun rayon fabrics [J]. JOURNAL OF TEXTILE RESEARCH, 2014, 35(1): 91-0.
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