A hybrid intelligent method for modelling the EDM process

被引:99
作者
Wang, KS [1 ]
Gelgele, HL
Wang, Y
Yuan, QF
Fang, ML
机构
[1] Norwegian Univ Sci & Technol, Dept Prod & Qual Engn, N-7491 Trondheim, Norway
[2] Stavanger Univ Coll, Dept Mech Engn & Mat Technol, Stavanger, Norway
[3] Shanghai Univ, CIMS, Shanghai, Peoples R China
[4] Shanghai Univ, Robot Ctr, Shanghai, Peoples R China
关键词
computational intelligence; artificial neural networks; genetic algorithms; electro-discharge machining; hybrid systems; modelling; optimisation;
D O I
10.1016/S0890-6955(03)00102-0
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper discusses the development and application of a hybrid artificial neural network and genetic algorism methodology to modelling and optimisation of electro-discharge machining. The hybridisation approach is aimed not only at exploiting the strong capabilities of the two tools, but also at solving manufacturing problems that are not amenable for modelling using traditional methods. Based on an experimental data, the model was tested with satisfactory results. The developed methodology with the model is highly beneficial to manufacturing industries, such as aerospace, automobile and tool making industries. (C) 2003 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:995 / 999
页数:5
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