JOURNAL OF TEXTILE RESEARCH ›› 2018, Vol. 39 ›› Issue (05): 32-37.doi: 10.13475/j.fzxb.20170709306

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Color prediction of double channel digital ring spinning melange yarn based on Stearns - Noechel model

  

  • Received:2017-07-25 Revised:2018-01-17 Online:2018-05-15 Published:2018-05-10

Abstract:

In order to study the color fiber matching rules of the melange yarn spun by digital ring spinning, three kinds of solid color yarn and two colors melange yarn were spun by gradient configuring the blend ratio of magenta, yellow and cyan fibers. On the basis of the structural characteristics of melange yarns produced by digital ring spinning, the blending effect was explored and predicted by Stearns-Noechel model. Two methods of the minimum chromatic aberration and the wavelength was put forward and compared to optimize the Stearns-Noechel model parameter M. The results show that the Stearns-Noechel model is suitable for melange yarns spun by digital ring spinning. The average color difference of the sample is 1.80 with the minimum chromatic aberration. The average color difference of the sample is 1.46 by the wavelength method. The two methods are superior to the classical color matching model, and the method based on the wavelength is better because the proportion of the average color gradient of all samples increased. It is more suitable for the color prediction of the digital ring spinning melange yarn.

Key words: digital ring spinning, Stearns-Noechel model, melange yarn, matching rule

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