Application of Six Sigma Robust Optimization in Sheet Metal Forming
- National Die and Mold CAD Engineering Research Center, Shanghai Jiao Tong University, Shanghai, 200030 (China)
Numerical simulation technology and optimization method have been applied in sheet metal forming process to improve design quality and shorten design cycle. While the existence of fluctuation in design variables or operation condition has great influence on the quality. In addition to that, iterative solution in numerical simulation and optimization usually take huge computational time or endure expensive experiment cost In order to eliminate effect of perturbations in design and improve design efficiency, a CAE-based six sigma robust design method is developed in this paper. In the six sigma procedure for sheet metal forming, statistical technology and dual response surface approximate model as well as algorithm of 'Design for Six Sigma (DFSS)' are integrated together to perform reliability optimization and robust improvement. A deep drawing process of a rectangular cup is taken as an example to illustrate the method. The optimization solutions show that the proposed optimization procedure not only improves significantly the reliability and robustness of the forming quality, but also increases optimization efficiency with approximate model.
- OSTI ID:
- 20726209
- Journal Information:
- AIP Conference Proceedings, Vol. 778, Issue 1; Conference: NUMISHEET 2005: 6. international conference and workshop on numerical simulation of 3D sheet metal forming process, Detroit, MI (United States), 15-19 Aug 2005; Other Information: DOI: 10.1063/1.2011323; (c) 2005 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
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