Application of a Genetic Algorithm for the Optimization of Springback in Sheet Metal Forming Process

摘要

Springback is important for die-design of sheet metal parts. This paper proposed a finite element model to predict springback with contact evolution. The effects of the variable blank holding force on springback results were investigated based on a genetic algorithm (GA) for the determination of the parameters in blank holding operations. It has been found that the GA based optimization technique is very effective. The difficulty of choosing correct starting values for the constants in the traditional optimization techniques has been completely overcome and the GA technique provides a better chance to converge to the global minimum.