Abstract
To improve material flow of sheet metal, draw beads are used to prevent wrinkling and springback during deep drawing process. Firstly, taking BenchMark2 "S-Rail-08" of NUMSIHEET’2008 as a study case, based on the orthogonal tests of finite element simulation of stamping process, a springback prediction model which adopts response surface method (RSM) was proposed to predict the springback influenced by draw beads parameters approximately. Then, in order to reduce springback, non-dominated sorting genetic algorithm (NSGA-II), is implemented to inverse and optimize both geometry and layout parameters of draw beads cost-efficiently. Finally, the validation of optimal parameters set and the feasible of this optimize approach are confirmed by finite element simulation of S-Rail springback.
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