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

Article Preview

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.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 154-155)

Pages:

902-906

Citation:

Online since:

October 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] M . G . Lee: International Journal of Plasticity. 2009(25), pp.339-419.

Google Scholar

[2] Lei Cheng, Wei Zhang, Baocun Lu: Prediction and Optimization on Springback and Process Parameters of S-Rail Forming. The International workshop on Mechanic Automation and Control Engineering (MACE2010), Wuhan, June, 2010. (Accepted).

DOI: 10.1109/mace.2010.5536024

Google Scholar

[3] Srinivas. N, and Deb. K: Evolutionary Computation, Vol. 2, No. 3(1994), pp.221-248.

Google Scholar

[4] Jinglu Guo: Fire Control & Command Control. [J], Vol. 35, No. 3(2010), pp.132-133, (In Chinese).

Google Scholar

[5] Information on http: /www. numisheet2008. ethz. ch/benchmarks.

Google Scholar

[6] Deb. K, Pratap. A, Agrawal. S, and Meyarivan. T: NSGA IEEE Transactions On Evolutionary Computation, Vol. 6, No. 2, April. 2002, pp.182-197.

DOI: 10.1109/4235.996017

Google Scholar