Indexed by SCOPUS Abstract - The matching between the colour of a carded fibre and the colour of a finished fabric is one of the most important challenges for textile industry. The straightforward approach formixing together some differently coloured fibres in order to obtain a carded fibre (also called “blend”) of a desired colour is to performa trial and error approach starting from a given colour recipe and optimizing it with several attempts. A recipe is a list of percentages of raw materials that have to be mixed together so as to obtain a desired coloured fabric. This is known by the colourists on the basis of their own skill. Anyway the recipe is not optimized , that is, the dyeing process so as the carding procedure may result in a carded fibre whose colour is different from the desired one. Accordingly, when the colorimetric distance between the produced carded fibre and the desired one exceeds a value stated by the customer, the 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. A number of approaches have been described for partially solving this crucial problem. Unfortunately the results obtained by most of the approaches provided in the literature may result not suitable in the industrial practice. The present work describes a model able to simulate the colour mixing of fibres. The tool is capable of automatically assess the best recipe used for obtaining a blend once a first attempt recipe is known. This process, called “recipe optimization”, is obtained by minimizing the CMC colour distance between a produced blend and a desired one. The model consists in two main modules: a “prediction module” able to predict the colour of a blend obtained by mixing together several fibres and an “optimization module” able to optimize the recipe. The whole optimization process performed by means of the devised model carries out the optimized recipe in few seconds. The optimization model has been tested for optimizing the recipe of a set of 200 blends. The parameters used for measuring the performance of the devised model are the CMC colour distance between the colour of the predicted blend and the desired one and the time spent by the technicians for assessing the optimal recipe. In terms of colour, 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%. Therefore, the proposed approach is suitable for a reliable, fast, and practical recipe optimization for carded fibres.

Colour mixing modelling and simulation: optimization of colour recipe for carded fibres / R.Furferi;M.Carfagni. - In: MODELLING AND SIMULATION IN ENGINEERING. - ISSN 1687-5591. - STAMPA. - 2010:(2010), pp. 1-9. [10.1155/2010/487678]

Colour mixing modelling and simulation: optimization of colour recipe for carded fibres

FURFERI, ROCCO;CARFAGNI, MONICA
2010

Abstract

Indexed by SCOPUS Abstract - The matching between the colour of a carded fibre and the colour of a finished fabric is one of the most important challenges for textile industry. The straightforward approach formixing together some differently coloured fibres in order to obtain a carded fibre (also called “blend”) of a desired colour is to performa trial and error approach starting from a given colour recipe and optimizing it with several attempts. A recipe is a list of percentages of raw materials that have to be mixed together so as to obtain a desired coloured fabric. This is known by the colourists on the basis of their own skill. Anyway the recipe is not optimized , that is, the dyeing process so as the carding procedure may result in a carded fibre whose colour is different from the desired one. Accordingly, when the colorimetric distance between the produced carded fibre and the desired one exceeds a value stated by the customer, the 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. A number of approaches have been described for partially solving this crucial problem. Unfortunately the results obtained by most of the approaches provided in the literature may result not suitable in the industrial practice. The present work describes a model able to simulate the colour mixing of fibres. The tool is capable of automatically assess the best recipe used for obtaining a blend once a first attempt recipe is known. This process, called “recipe optimization”, is obtained by minimizing the CMC colour distance between a produced blend and a desired one. The model consists in two main modules: a “prediction module” able to predict the colour of a blend obtained by mixing together several fibres and an “optimization module” able to optimize the recipe. The whole optimization process performed by means of the devised model carries out the optimized recipe in few seconds. The optimization model has been tested for optimizing the recipe of a set of 200 blends. The parameters used for measuring the performance of the devised model are the CMC colour distance between the colour of the predicted blend and the desired one and the time spent by the technicians for assessing the optimal recipe. In terms of colour, 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%. Therefore, the proposed approach is suitable for a reliable, fast, and practical recipe optimization for carded fibres.
2010
2010
1
9
R.Furferi;M.Carfagni
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/397327
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