A Novel Approach for Robust Design of Sewing Machine

Abstract

In recent years, there has been increasing interest on optimizing the robust design of sewing machines in order to improve their performances. This study presents a novel approach to the multi-objective robust design optimization of sewing machine. A combined multi-objective colonial competitive algorithm (MOCCA) and the Polynomial Chaos expansion (PCE) method is developed and used for the robust multi-objective optimization of the sewing machine. This robust optimization considers simultaneously the motor current, the current fluctuation and their standard deviations. The obtained results showed that the robust design reduces significantly the sensitivity of the sewing machine performances to the design parameters (DPs) uncertainties compared to the deterministic one.