Optimization of Drawbeads for Springback Based on RSM and NSGA-II

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 154-155)

Edited by:

Zhengyi Jiang, Xianghua Liu and Jinglong Bu

Pages:

902-906

DOI:

10.4028/www.scientific.net/AMR.154-155.902

Citation:

L. Cheng et al., "Optimization of Drawbeads for Springback Based on RSM and NSGA-II", Advanced Materials Research, Vols. 154-155, pp. 902-906, 2011

Online since:

October 2010

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Price:

$35.00

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