Colour Mixing Modelling and Simulation: Optimization of Colour Recipe for Carded Fibres

Author:

Furferi Rocco1ORCID,Carfagni Monica1

Affiliation:

1. Dipartimento di Meccanica e Tecnologie Industriali, Università degli Studi di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy

Abstract

Colour matching between carded and finished fibres is an important challenge for textile industry. The straightforward approach for mixing together some differently coloured fibres in order to obtain a blend of a desired colour is to perform a trial and error approach starting from a given colour recipe and optimizing it with several attempts. Unfortunately, dyeing process so as the carding procedure may result in a carded fibre whose colour is different from the desired one. As a consequence textile companies have to modify the original recipe in order to reduce the gap between the colour of the final product and the desired one. The present work describes a model able to simulate the colour mixing of fibres in order to assess the best recipe. The model consists in two modules: a “prediction module” predicts the colour of a blend obtained by mixing together several fibres; an “optimization module” is used to optimize the final recipe. The devised system has been tested for optimizing the recipe of a set of 200 blends. The mean error in predicting the blend colour is about 15% with a variance of 0.165. The time for optimizing the recipe is reduced by 92%.

Publisher

Hindawi Limited

Subject

Computer Science Applications,General Engineering,Modelling and Simulation

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1. Reinforcement Learning to Improve Color Adjustments in the Ceramic Industry;Proceedings of the 2023 8th International Conference on Machine Learning Technologies;2023-03-10

2. Improving Color Mixture Predictions in Ceramics using Data-centric Deep Learning;Proceedings of the 2023 8th International Conference on Machine Learning Technologies;2023-03-10

3. Design and Manufacturing of an Innovative Triple-Layer Thermo-Insulated Fabric;Applied Sciences;2020-01-18

4. Three-dimensional color prediction modeling of single- and double-layered woven fabrics;Color Research & Application;2017-07-28

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