Robustness optimization of ride comfort for sliding door based on 6σ method
                                                    ZHANG Liqiang1, ZHONG Hongjun1, CHEN Ziming2, ZHANG Song3
(1.Mechanical and Electrical Engineering Institute, Central South University of Forestry and Technology,Changsha 410000, China; 2.State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University, Changsha 410082, China; 3.Changan Oushang Automobile Institute, Chongqing 400023, China)

Abstract: Aiming at the problem that investigations on the ride comfort of sliding door were mainly carried out by single objective optimization method and ignored the influence of uncertain factors，in present work, a method combined multiobjective optimization with 6σ robust design was utilized to improve the ride comfort of sliding door. The rigidflexible coupled multibody dynamic model of sliding door was established and parameterized by ADAMS/View, and the corresponding parameters which do highly effect on the dynamic characteristics were selected as design variables by sensitivity analysis. Then, a secondorder response surface model was built. Based on the established mode, multiobjective dynamic optimization was carried out by using nondominated sorting in genetic algorithm II. Finally, 6σ robustness optimization was conducted on the optimization results by sampling method of Monte Carlo. The results indicate that the load peak of middle guide roller and the acceleration peak on center of mass is reduced by 36.3% and 23.8% respectively. The method improves the ride comfort of the sliding door visibly, and increases the robustness and reliability of the optimization scheme simultaneously.

Key words: sliding door; ride comfort; multibody dynamic; multiobject optimization; 6σ robustness optimization