Optimization Design of Drawbead Based on CAE and Neural Network

Abstract:

In this paper, application of drawbead optimization using FEM simulation and neural network was discussed for the drawing of car door. A neural network model was established to simulate the nonlinear mapping relation between the drawbead force and sheet forming parameters. The samples needed for training and testing were obtained by FEM simulation. Once the ANN trained successfully, the drawbead optimized design could be realized by using the ANN.

• Periodical: Advanced Materials Research (Volumes 538-541)
• Pages: 2727-2730
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.538-541.2727
• Online since: June 2012
• Authors: Yan Qin Zhang, Zhao Hu Deng
• Keywords: Artificial Neural Network (ANN), Computer Aided Engineering (CAE), Drawbead

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