关键词: 车身覆盖件, 冲压工艺, 多目标优化, 遗传算法, 帕累托法

Abstract: Both Finite Element Analysis (FEA) technology and optimization technology were applied to optimize stamping process of auto-body panels. Three kinds of parameters including materials, process and geometry were defined as main design variables, the intersection of which was regarded as the optimal design space. Three objective functions for fracture, wrinkle and insufficient stretching were built up to deal with the stamping formability of auto-body panels. Objective functions were calculated by integrating incremental FEA with inverse FEA. Compared with other single objective optimization algorithms, Pareto-based Multi-Objective Genetic Algorithm （MOGA）could provide all optimal solutions and satisfy the need for trade off among different formability. A complex auto-body engine hood panel has been studied as an illustration to validate the presented optimization system application.

Key words: auto-body panels, stamping process, multi-objective optimization, genetic algorithm, Pareto approach