#5793. Evaluation of a novel computer dye recipe prediction method based on the PSO-LSSVM models and single reactive dye database

July 2026publication date
Proposal available till 12-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Spectroscopy;
Analytical Chemistry;
Computer Science Applications;
Software;
Process Chemistry and Technology;
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Abstract:
In the process of fabric dyeing production, the color samples are usually obtained from the users first, and then the color-matching personnel conducts proofing according to the color of the samples. Therefore, the efficiency of color matching is low, and many fabric color-matching technologies emerge. In this work, we designed a series of dyeing schemes, and built three single reactive dye databases by dyeing cotton knitted fabrics with Levafix Red, Levafix Blue and Levafix Amber in the pad-dry-pad-steam (PDPS) process, respectively. Furthermore, three prediction models were established based on PSO-LSSVM, which took the color parameter L?, a? and b? value of the dyed fabrics as model input and dye concentration as model output.
Keywords:
Cotton fabric; Dye recipe; Dyeing; Machine learning; Reactive dye

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