Digital control of wide gamut color spun yarns enabled by four primary grid based mixing model

This paper introduces a digital control system for producing wide-gamut color-spun yarns by integrating a four-primary (Cyan, Magenta, Yellow, Grey) grid-based mixing model with a three-channel computer numerical control (CNC) rotor spinning system. The framework was validated by producing and testing 90 systematically varied yarn samples. The resulting yarns demonstrated precise, predictable colors, with exceptional agreement between the predicted model and measured fabric colors across the entire gamut. Furthermore, comprehensive testing confirmed that the yarns' mechanical properties, evenness, and hairiness meet or exceed industry standards. This research provides a systematic, mathematically rigorous approach that transforms color-spun yarn production from a craft-based process into a precision-controlled digital manufacturing technology.

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Publication Details

Journal
Scientific Reports
Published
2025-10-15
DOI
https://doi.org/10.1038/s41598-025-19972-x
Primary Topic
Textile materials and evaluations
Type
article
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article

Digital control of wide gamut color spun yarns enabled by four primary grid based mixing model

Peng Cui, Yuchen Liu, Yuan Xue
Scientific Reports
Textile materials and evaluations
article

Digital control of wide gamut color spun yarns enabled by four primary grid based mixing model

Peng Cui, Yuchen Liu, Yuan Xue
article en

Abstract

This paper introduces a digital control system for producing wide-gamut color-spun yarns by integrating a four-primary (Cyan, Magenta, Yellow, Grey) grid-based mixing model with a three-channel computer numerical control (CNC) rotor spinning system. The framework was validated by producing and testing 90 systematically varied yarn samples. The resulting yarns demonstrated precise, predictable colors, with exceptional agreement between the predicted model and measured fabric colors across the entire gamut. Furthermore, comprehensive testing confirmed that the yarns' mechanical properties, evenness, and hairiness meet or exceed industry standards. This research provides a systematic, mathematically rigorous approach that transforms color-spun yarn production from a craft-based process into a precision-controlled digital manufacturing technology.

Scientific ReportsVol. 15(1)
Jiangnan University (CN), Liming Vocational University (CN)
Openalex Percentile: Top 74%
Textile materials and evaluations
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