Engineering design optimization based on intelligent response surface methodology |
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Authors: | Guo-hui Song Yu Wu Cong-xin Li |
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Affiliation: | National Die & Mould CAD Engineering Research Center, Shanghai Jiaotong University, Shanghai 200030, China |
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Abstract: | An intelligent response surface methodology (IRSM) was proposed to achieve the most competitivemetal forming products, in which artificial intelligence technologies are introduced into the optimization process.It is used as simple and inexpensive replacement for computationally expensive simulation model. In IRSM,the optimal design space can be reduced greatly without any prior information about function distribution.Also, by identifying the approximation error region, new design points can be supplemented correspondingly toimprove the response surface model effectively. The procedure is iterated until the accuracy reaches the desiredthreshold value. Thus, the global optimization can be performed based on this substitute model. Finally, wepresent an optimization design example about roll forming of a "U" channel product. |
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Keywords: | design optimization intelligent response surface methodology roll forming rough set |
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