Journal Article10.1007/S00170-012-4417-4
Response surface methodology based on support vector regression for polygon blank shape optimization design
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TL;DR: In this article, support vector regression is used to build response surface to determine the optimum polygon blank shape, which can enhance the efficiency of optimization design for sheet metal forming performance and save material.
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Abstract: Optimization design for polygon blank shape has strong practical value, which can improve sheet metal forming performance and save material. Response surface method is presented to determinate the optimum polygon blank shape, which can enhance the efficiency of optimization design. In order to improve the precision of surrogate model for nonlinear engineering problem, instead of quadratic polynomial, support vector regression is used to build response surface. This method is demonstrated to be correct and efficient by successful optimization design for an automobile side wall inner top panel. The risk of cracking and wrinkling are obviously decreased after optimization. The blank area is also reduced by about 8.7 % after optimization. This method can advance the intelligent degree and process of die design, furthermore, reduce the production cost.
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Citations
An adaptive surrogate model based on support vector regression and its application to the optimization of railway wind barriers
TL;DR: On the whole, the accuracy of the adaptive SVR model using a suitable infill strategy will be improved with an increasing proportion of update points if the final number of training points is identical.
69
Multi-objective optimization of blank shape for deep drawing with variable blank holder force via sequential approximate optimization
TL;DR: In this paper, the authors proposed a method for determining the optimal blank shape design in square cup deep drawing using sequential approximate optimization (SAO) with a radial basis function (RBF) network.
23
Numerical optimization of blank shape considering flatness and variable blank holder force for cylindrical cup deep drawing
TL;DR: In this article, the authors proposed a method to simultaneously determine both optimal blank shape minimizing earing and the optimal variable blank holder force (VBHF) trajectory for a cylindrical cup deep drawing.
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A new optimization method for sheet metal forming processes based on an iterative learning control model
TL;DR: A new optimization algorithm of the draw bead restraining force (DBRF) is proposed, in which the scheme of drawbead segmentation can be decided automatically and the rapidity and practicability of the algorithm are verified by numerical experiments of automobile covering panels.
18
Simultaneous optimization of blank shape and variable blank holder force of front side member manufacturing by deep drawing
Satoshi Kitayama,Shohei Yamada +1 more
TL;DR: In this article, a method to determine an optimal blank shape minimizing earing for a front side member is presented, where variable blank holder force (VBHF) is adopted, and a sequential approximate optimization that the response surface is repeatedly constructed and optimized is used to determine the optimal VBHF for successful sheet metal forming.
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