This work presents the contribution of optimisation analysis of the performance of wet pneumatic spliced cotton yarns using two different methods: the superimposed contours method and the function of desirability. Cotton yarn linear density (Yc), length of splice (SL), duration of water joining (Dwj) and duration of air joining (Daj) were optimised in the experimental field of interest. In this study regression equations expressing multi-component splice mechanical performances were elaborated by using the response surface method. In order to validate the results, a desirability function, multi-objective technique was used to select optimal parameter zones which give high splice behaviour. The results show that there are zones of compromise where wet pneumatic splice behaves better before weaving. In this work, the spliced yarn performance was optimised.
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