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        Friele Color Matching Model of Digital Rotor Spinning Viscose Mélange Fabric

        Ruihua Yang,Kanglei Zhang,Zhuo Wang 한국섬유공학회 2022 Fibers and polymers Vol.23 No.4

        Digital rotor spinning involves spinning fibers that have been dope-dyed together with one of several differenthues in a manner that enables the color tuning of the resultant yarn. A small inventory of colored fibers provides access to awide gamut of shades and production of textiles in a variety of colorways. To overcome the issues with the current intelligentcolor matching system for digital rotor spinning viscose melange yarn, in this study, a digital rotor spinning frame was used tospin 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 performcolor testing and record the experimental data. The parameter σ of the Friele model was assigned within [0,1]. The optimalvalue of σ was 0.134 when the average color difference of the bi-component melange sample was minimal, which was usedfor the construction of a color matching system based on the Friele model. In addition, this study verifies the obtained optimalvalue of σ using the full-spectrum color matching method. The average error between the predicted ratio and actual ratio ofthe three-component melange sample was 10.21 %, while the predicted average color difference was 0.4561. This indicatesthat the empirical parameters of the Friele model obtained in this study yield a good prediction accuracy of digital rotorspinning viscose melange products.

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