镁合金3C覆盖件冲压工艺多目标优化系统集成

Integration of Multi-objective Optimization System for Stamping Process of Magnesium Alloy 3C Panel

针对镁合金3C产品覆盖件冲压成形工艺优化难、优化系统集成度低的问题,应用DYNAFORM有限元数值模拟和多目标遗传优化算法(MOGA),对冲压工艺多目标优化系统集成进行了研究。研究依据成形极限图(FLD)描述的冲压成形特性,以镁合金材料参数、冲压工艺参数和形状几何参数为设计变量,构建了开裂、起皱和成形不足3个目标函数的数学模型,利用基于Pareto支配的多目标遗传算法与最小距离选解法,求得了最佳解空间的所有解和最优解(P m)。最后通过某镁合金3C产品覆盖件的冲压成形应用实例,验证了该工艺优化方法与优化集成系统的可行性及有效性。

Aimed at the problems of difficult stamping and forming process optimization and low integration of optimization system of Magnesium alloy 3C product panel,the multi-objective optimization system integration of stamping process was studied by using DYNAFORM finite element numerical simulation(FENS)and multi-objective genetic algorithm(MOGA).Based on the stamping characteristics described by forming limit diagram(FLD),three objective function mathematical models of cracking,wrinkling and insufficient forming were constructed,which took Magnesium alloy material parameters,stamping process parameters and shape geometric parameters as design variables.All solutions and optimal solution(P m)in the optimal solution space were obtained by using multi-objective genetic algorithm(MOGA)based on Pareto domination and minimum distance selection method.Finally,the feasibility and effectiveness of the optimization integrated system were verified by an application example of stamping and forming of a Magnesium alloy 3C product panel.