Static and dynamic characteristic analysis and multi objective optimization for automobile driving axle housing

ZHENG Bin1, ZHANG Jun-jie1, LI Zhao2
(1.College of Transportation and Automobile Engineering, Panzhihua University, Panzhihua 617000, China;
2.Shangdong Junfu Nonwoven Cloth Co. Ltd., Dongying 257000, China)

Abstract: Aiming at the problem that weight redundancy during the design process of driving axle housing to meet its strength and stiffness requirements, a multi objective optimization design method combined sensitivity analysis with response surface model was proposed. Static and modal analysis of the driving axle housing was carried out with three typical working conditions based on ANSYS. The five dimension parameters of driving axle housing were defined as design variables. The objective functions were the maximum deformation, the maximum equivalent stress, mass and the first natural frequency. The BoxBehnken sampling method was used to design the test variables, sensitivity analysis and response surface analysis. The influence of the five dimension parameters change of the driving axle housing on the objective function was studied. Based on response surface analysis results, the multi objective optimization of driving axle housing was carried out by using genetic algorithm. The results indicate that after optimization, the maximum deformation of the driving axle housing is reduced by 1.8%, the maximum equivalent stress is reduced by 6.57%, the mass is reduced by 6.28%, and the first natural frequency is increased by 2.1%. The feasibility of the proposed multi objective optimization method is proved.
Key words: driving axle housing; finite element analysis; sensitivity analysis; response surface methodology; multi objective optimization