Friele Color Matching Model of Digital Rotor Spinning Viscose M 


Vol. 23,  No. 4, pp. 1018-1023, Apr.  2022
10.1007/s12221-022-4230-0


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  Abstract

Digital rotor spinning involves spinning fibers that have been dope-dyed together with one of several different hues in a manner that enables the color tuning of the resultant yarn. A small inventory of colored fibers provides access to a wide gamut of shades and production of textiles in a variety of colorways. To overcome the issues with the current intelligent color matching system for digital rotor spinning viscose melange yarn, in this study, a digital rotor spinning frame was used to spin selected red, yellow, and blue dope-dyed viscose staple fibers into 66 types of melange yarns at a ratio gradient of 10 %. The corresponding yarns were knitted as fabric samples, and then a Datacolor650 spectrophotometer was used to perform color testing and record the experimental data. The parameter of the Friele model was assigned within [0,1]. The optimal value of was 0.134 when the average color difference of the bi-component melange sample was minimal, which was used for the construction of a color matching system based on the Friele model. In addition, this study verifies the obtained optimal value of using the full-spectrum color matching method. The average error between the predicted ratio and actual ratio of the three-component melange sample was 10.21 %, while the predicted average color difference was 0.4561. This indicates that the empirical parameters of the Friele model obtained in this study yield a good prediction accuracy of digital rotor spinning viscose melange products.

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  Cite this article

[IEEE Style]

R. Yang, K. Zhang, Z. Wang, "Friele Color Matching Model of Digital Rotor Spinning Viscose M," Fibers and Polymers, vol. 23, no. 4, pp. 1018-1023, 2022. DOI: 10.1007/s12221-022-4230-0.

[ACM Style]

Ruihua Yang, Kanglei Zhang, and Zhuo Wang. 2022. Friele Color Matching Model of Digital Rotor Spinning Viscose M. Fibers and Polymers, 23, 4, (2022), 1018-1023. DOI: 10.1007/s12221-022-4230-0.

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