Multiobjective optimization of glass lifter based on rigidflexible coupled dynamic simulation
                                            LUO Kun1,2, CHEN Ziming1,2, WU Yunlong1,2, ZENG Gang3, LI Luoxing1,2
(1.State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 410000,China; 2.College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410000, China; 3.Changan Automobile Auchan Research Institute, Chongqing 400023, China)

Abstract: Aiming at the problem of stuck in the front window glass of a SUV , the rigidflexible coupled multibody dynamics model of the sheave type glass lifter was established, the performance indexes such as glass deflection displacement and wire rope tension were researched. Model accuracy was verified through the lift test bench, the parameters such as rail position, guide seal friction force and slot seal friction force were parameterized, combined with the Latin hypercube design method of Isight for experimental design, a secondorder response surface approximation model for each index was established. Based on the response surface model, the second generation nondominated genetic algorithm was used to optimize the performance of the glass lifter. The optimization results indicate that the glass stuck phenomenon disappears, the deflection displacement of the measuring point on the glass, the deflection displacement of the lower measuring point, and the pulling force of the steel wire rope are reduced by 47.6%, 33.3%, 9.6%, under the condition of satisfying the glass rise time, the glass lifting performance is significantly improved.

Key words: glass lifter; rigidflexible coupled; multibody dynamics model; multiobject optimization; design of experiment (DOE); genetic algorithms(GA)