Optimization of Chlorine Bleaching Parameters for Indigo Denim Textile Based on the Model of Response Surface Model and Genetic Algorithm

Abstract

The production of denim clothing has been broadly applied with the sodium hypochlorite washing technique, the parameters of which influence immensely on the effect of washing. It is the unclear declaration of the correlations between parameters of this technique and the final effects that makes it difficult to reduce the cost of washing in an efficient way. In this essay, L25(35) Orthogonal experimental design method has been adopted to process chlorine bleaching experiment, by using parameters of the technique as the input parameters ( the time, sodium hypochlorite concentration, temperature), and by using after-washing effects as output response ( including K/S value, the bending stiffness, the warp-weft tensile breaking strength). Secondly, building agency theory model for the input-output correlation by utilizing response surface methodology in multivariate second-order to test the accuracy of the model, and to analyze how input parameters correlate to the result of chlorine bleaching. At last, based on the agency model, there will be raised up with the optimization model for production cost of the denim chlorine bleaching technique, which is solved by genetic algorithm method that could satisfy the purpose of reducing costs.