The Research And Application On Key Technology Of Performance Development For Automobile Body-in-white And Door

The body-in-white and door this paper studied are designed based on the benchmark by reverse engineering. In order to study on performance development of BIW and door effectively, performance analysis was carried out between prototype and benchmark. And then, performance evaluation of prototype BIW and door was made based on benchmark analytical techniques, and the follow-up development task was proposed. The research includes:Benchmark technology and its application at home and aboard were studied. The main process of BIW and door performance development based on benchmark technology was summed up. The optimization methods applied in performance development were introduced.The modal and stiffness test of benchmark BIW was implied, and the modal, bending stiffness, torsion stiffness properties were known. The stiffness test of benchmark door was implied, and the denting-resistances stiffness, sink stiffness, torsion stiffness properties were known. The finite element models of prototype BIW and door were based on geometric model.Simulation analysis of prototype BIW modal, stiffness performance was done, and prototype BIW performance was compared with benchmark BIW. The difference between prototype and benchmark BIW performance was pointed out, and it’s known that lth modal frequency of prototype BIW is lower than benchmark BIW. Simulation analysis of prototype door stiffness performance was done, and prototype door performance was compared with benchmark door. The difference between prototype and benchmark door performance was pointed out, and door lightweight task was proposed.Through the integration of Isight and OptiStruct, performance optimization design platform was established. Based on performance optimization design platform and design of experiment, the lth-order modal frequency of prototype BIW have been improved from15.13Hz up to17.5Hz. Based on performance optimization design platform, approximate model, neural network and simulated annealing algorithm, the prototype door was realized lightweight by1.237kg without performance losing.