Journal
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
Volume 197, Issue 1-3, Pages 77-88Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.jmatprotec.2007.06.018
Keywords
adaptive response surface method; particle swarm optimization; intelligent sampling; sheet metal forming; metamodel
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In this study, the previously developed adaptive response surface method (ARSM) is suggested for construction of metamodel for highly non-linear responses. In order to develop the accuracy and efficiency of metamodel, the particle swarm optimization intelligent sampling (PSOIS) scheme is developed. This kind of intelligent method can guarantee the sampling search in right direction and constraint the bounds of design variables in feasible region. For validation of developed method, the Rosenbrock function is successfully approximated by proposed method; corresponding metamodel appropriateness can be well predicted by analysis of variance (ANOVA). Metamodel by ARSM with PSOIS are employed for optimization of initial blank shape and blank hold force (BHF) in sheet forming process, with validations by finite element simulations using LSDYNA970 commercial code. The results show that developed method is able to produce remarkable metamodels for highly non-linear problems with multi-parameter. (C) 2007 Elsevier B.V. All rights reserved.
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