标题:Multiobjective optimization design of porthole extrusion die using Pareto-based genetic algorithm
作者:Guoqun Zhao;Hao Chen;Cunsheng Zhang;Yanjin Guan
作者机构:Key Laboratory for Liquid-solid Structural Evolution and Processing of Materials (Ministry of Education), Shandong University;Ke
来源:The International Journal of Advanced Manufacturing Technology
出版年:2013
期:5
页码:1547-1556
关键词:Extrusion;Multiobjective optimization;Kriging model;Genetic algorithm
摘要:The extrusion die plays a crucial role in aluminum alloy profile production, which influences product quality and service life of extrusion die directly. In this paper, a profile with irregular shape was taken as an analysis example, and multiobjective optimization for porthole extrusion die based on modern intelligence algorithm was carried out. Aiming at achieving the uniform velocity distribution in the cross-section of the profile as well as decreasing the maximum stress on the extrusion die and the deflection of the mandrel, the angle between port bridges, the position of die orifice, and the height of welding chamber were considered as the design variables. Then Kriging model was established on the basis of Latin hypercube samplings, and above design variables were optimized using Pareto-based genetic algorithm. Finally, an optimal die structure is gained. Compared with the initial scheme, the velocity distribution in the extrudate was more even, and the stress on the die and the deflection of the mandrel were decreased obviously in the optimal scheme. The optimal design method for porthole die has strong commonality, thus, it could give useful guidelines for practical production of the same kind of aluminum profile.
资源类型:期刊论文
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