Paper Title:
Optimization of Drawbeads for Springback Based on RSM and NSGA-II
  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.

  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, W. Zhang, B. C. Lu, H. J. Gong, Y. Z. Song, "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
$32.00
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