Finite volume simulation and mould optimization of aluminum profile extrusion

被引:26
作者
Chen, Z. Z. [1 ]
Lou, Z. L.
Ruan, X. Y.
机构
[1] Shanghai Jiao Tong Univ, Natl Mould & Die CAD Engn Res Ctr, Shanghai 200030, Peoples R China
[2] Nanchang Univ, Sch Mech & Electron Engn, Jiangxi 330029, Peoples R China
关键词
Al alloy profile; extrusion; finite volume method; orthographic experiment; artificial neural network; genetic algorithm;
D O I
10.1016/j.jmatprotec.2007.01.032
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, finite volume method (FVM) is adopted to simulate irregular Al alloy profile extrusion process since the coefficient of extrusion (ratio of billet and profile cross section area) is too large (more than 25), the plastic deformation is quite severe that it is almost impossible to get satisfactory results using traditional lagrangian finite element method to simulate that kind of deformation. Calculations show it is a good way for the description of material flow, and mesh distortion could be avoided effectively. On the other hand, a computer aided optimization (CAO) model based on orthographic experiments, artificial neural network (ANN) and genetic algorithm (GA) is built and utilized to obtain optimal values of multi-parameters of Al alloy profile extruding processes and moulds, as it's a combination optimization problem and traditional arithmetic algorithm can hardly solve that. Experiment shows satisfactory results, such as process and mould parameters, are obtained. (c) 2007 Published by Elsevier B.V.
引用
收藏
页码:382 / 386
页数:5
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