Colour matching between carded and finished fibres is an importantchallenge for textile industry. The straightforward approach formixing together some differently coloured fibres in order toobtain a blend of a desired colour is to perform a trial and errorapproach starting from a given colour recipe and optimizing itwith several attempts. Unfortunately, dyeing process so as thecarding procedure may result in a carded fibre whose colour isdifferent from the desired one. As a consequence textile companieshave to modify the original recipe in order to reduce the gapbetween the colour of the final product and the desired one. Thepresent work describes a model able to simulate the colour mixingof fibres in order to assess the best recipe. The model consistsin two modules: a “prediction module” predicts the colour of ablend obtained by mixing together several fibres; an “optimizationmodule” is used to optimize the final recipe. The devised systemhas been tested for optimizing the recipe of a set of 200 blends. The mean error in predicting the blend colour is about 15% with avariance of 0.165. The time for optimizing the recipe is reducedby 92%.
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