Research on color transfer law of color spinning process based on multi-dimensional feature analysis

Li, Yuan; Xiong, Ying; Gu, Qian; Wang, Danshu; Huo, Da; Liu, Junping

doi:10.1080/00405000.2022.2057657

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…This traditional color matching mode has the defects of low efficiency, long cycle, and low accuracy. [9][10][11] In order to adapt to the increasingly fierce market competition, the factory must build a small batch, multi-variety and fast response agile manufacturing mode, plan a color matching scheme with wide adaptability and strong inclusiveness, explore new mechanisms and develop new working modes to solve the defects of low efficiency, long cycle and low accuracy of color matching.…”

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Color mixture model of seven primary color fiber grid blending and rotor spinning of full-color gamut mixed color yarn

Zhu

Chen

2023

Textile Research Journal

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Based on the three-channel numerical control rotor spinning machine, this paper aims to develop a spinning technology that can control the yarn color in the full-color gamut. A seven primary color fiber grid blending mode and full-color gamut grid color mixture model containing 601 grid points were constructed. The mechanism of three-channel rotor spinning with coordinated regulation of three-channel feeding speed ratio, primary color fibers blending ratio and yarn color was constructed. The process theory of spinning the full-color gamut mixed color yarn based on the full-color gamut grid color mixture model formed by the grid blending of seven primary color fibers was developed. On this basis, 55 trial samples were selected from the full-color gamut grid color mixture model for spinning and knitting into fabric, and the evenness, strength, hairiness and other indicators of the yarn were tested.

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confidence: 99%

“…This traditional color matching mode has the defects of low efficiency, long cycle, and low accuracy. 9–11…”

mentioning

confidence: 99%

Color mixture model of seven primary color fiber grid blending and rotor spinning of full-color gamut mixed color yarn

Zhu

Chen

2023

Textile Research Journal

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Color prediction model of BP neural network based on multi-source feature fusion

Wu,

Yuan

2024

2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)

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Research on color transfer law of color spinning process based on multi-dimensional feature analysis

Cited by 2 publications

References 4 publications

Color mixture model of seven primary color fiber grid blending and rotor spinning of full-color gamut mixed color yarn

Color mixture model of seven primary color fiber grid blending and rotor spinning of full-color gamut mixed color yarn

Color prediction model of BP neural network based on multi-source feature fusion

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