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Abstract：
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In traditional process,the design and arrangement of drawbeads largely depend on experience,which makes the designing and manufacturing period of die set to be prolonged.The application of ANN and GA in drawbead optimized design was discussed.A neural network model based on car sidewall drawing was designed to simulate the nonlinear mapping relation between the drawbead force and sheet forming parameters.The drawbead optimized design could be realized by using the ANN.Because the finite element simulation costed less time than process test,the car sidewall drawing process with Dynaform was simulated and the training sample of ANN was created.The training method of the ANN was optimized in GA.It was helpful to improving the simulating degree of ANN.
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Funds：
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广东省工业攻关计划项目(2004A11403002)
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AuthorIntro：
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Reference：
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