Abstract: Aiming at the problems of longer running time of experimental design and lower fitting precision of mixed approximation model, the cab of a commercial vehicle was taken as research object and a method was proposed that a multiobjective optimization method of commercial vehicle cab based on beam section. Firstly, implicit parameterized model of commercial vehicle cab was established with SFE-Concept. Model accuracy was verified by comparing with the verified finite element model. Then, Hyper Mesh was used to analyze mechanical characteristics of beam section to find control factors. The section shape was controlled by proportional vector method. Sensitivity analysis of cab parts thickness and beam section was carried out respectively with Hyper Mesh and HyperMorph. The key optimization varies were screened out before experimental design. Finally, mixed approximation model that radial basis function-response surface model was constructed. The non-dominated sorting genetic algorithm II was used to optimize the problem. The results indicate that the cab mass is reduced by 16.5kg and reduced by 5.4%after multi-objective optimization. The basic performance is improved that the first bending stiffness is improved by 15.3% and the first torsional stiffness is improved by 7.7% under the condition of the low order vibration mode frequency is basically unchanged. The multiobjective optimization effect is better.

Key words: beam cross section; multi-objective optimization; implicit parameterized; sensitivity analysis; optimization efficiency

TANG Jin-shuai, LIU Fu-yun, DENG Ju-cai, et al. Multi-objective optimization of commercial vehicle cab based on beam cross section［J］.Journal of Mechanical & Electrical Engineering, 2022,39(2):180-186.