Application of Multiobjective Optimization in Vehicle Door Lightweight

Abstract:

In order to improve the door stiffness and simultaneously achieve the lightweight goal ,the sinking rigidity and mass of the tailedweld bank door were proposed as optimization objectives based on the door sinking stiffness conditions and window frame stiffness conditions, sampling points were obtained by using optimal latin hypercube, and the approximated system, including the door sinking stiffness, window frame stiffness and plastic deformation, was constructed by kriging model while the mass was fitted by response surface model. Nondominated sorting genetic algorithmII (NSGAII) genetic algorithm was used for multiobjective optimization, a pareto optimal solution set is gained, to verify this optimization solution, and eventually get the ideal optimization results.