Optimization of Stamping Parameters Using Stochastic Focusing Search Algorithm

Ling Long; Chao Song; Guo Fu Yin

doi:10.4028/www.scientific.net/AMR.479-481.1963

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 479-481Optimization of Stamping Parameters Using...

Optimization of Stamping Parameters Using Stochastic Focusing Search Algorithm

Abstract:

A new kind of swarm intelligence algorithm called stochastic focusing search(SFS) is proposed and applied to optimize sheet metal forming process in this paper. The steps of the optimization procedure include combining numerical simulation technology with orthogonal experiments to provide training samples for BP net, and producing the fitted function as optimization function for SFS algorithm. The validation of the final optimization results by a rectangular box part stamping case shows that this kind of optimization methodology is correct and reliable for the design of deep drawing process. Advantages of the SFS algorithm are demonstrated that SFS has good global searching ability and fast convergence speed in finding optimal solutions, which means the optimization method using SFS algorithm can provide a competitive way of solving the optimization design problems in sheet metal forming.

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Periodical:

Advanced Materials Research (Volumes 479-481)

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1963-1967

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.479-481.1963

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Online since:

February 2012

Authors:

Ling Long, Chao Song, Guo Fu Yin

Keywords:

BP Network, Deep Drawing Process, Optimization of Process Parameters, Rectangular Box Part, Stochastic Focusing Search(SFS)

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