Numerical simulation and process optimization of stretching forming for bracket of refine business vehicles

被引：2
|
作者：
School of Materials Science and Engineering, Hefei University of Technology, Hefei 230009, China [1 ]
不详 [2 ]
机构：
[1] School of Materials Science and Engineering, Hefei University of Technology
[2] Jianghuai Automobile Co. Ltd.
来源：
Jixie Gongcheng Xuebao | 2008年 / 7卷 / 176-180期
关键词：
Artificial neural network; Automobile panel; Numerical simulation; Process optimization; Stretch forming;
D O I：
10.3901/JME.2008.07.176
中图分类号：
学科分类号：
摘要：
Based on reverse engineering, geometric model of bracket of Refine business vehicles is reconstructed. By using Dynaform software, the stretching forming of the part is simulated with different process parameters. Based on the Dynaform software platform, the prediction model of object function is established by using artificial neural network and is regarded as knowledge source of optimization algorithm. In object function, blank holder force, draw bead height and fillet radius are design variables and prevention of cracking is considered as the optimization objective. The virtual training samples of network are obtained by finite element simulating results. Process parameters optimization is performed with genetic algorithm. The experimental results indicate that the numerical simulation is effective and the process optimization based on artificial neural network and genetic algorithm is feasible. An effective mean is offered for determining optimum deformation process parameters of sheet metal forming.
引用
收藏
页码：176 / 180
页数：4
相关论文
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