Optimization of electric discharge machining using simulated annealing

被引：71

作者：

Yang, Seung-Han ^{[1
]}

Srinivas, J. ^{[1
]}

Mohan, Sekar ^{[1
]}

Lee, Dong-Mok ^{[1
]}

Balaji, Sree ^{[2
]}

机构：

[1] Kyungpook Natl Univ, Sch Mech Engn, Taegu 702701, South Korea

[2] SCSVMV Deemed Univ, Kanchipuram 631561, India

来源：

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY | 2009年 / 209卷 / 09期

关键词：

Electro-discharge machining; Modeling; Process parameters; Neural networks; Optimization; SORTING GENETIC ALGORITHM; MULTIOBJECTIVE OPTIMIZATION; EDM;

D O I：

10.1016/j.jmatprotec.2008.10.053

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper proposes an optimization methodology for the selection of best process parameters in electro-discharge machining. Regular cutting experiments are carried out on die-sinking machine under different conditions of process parameters. The system model is created using counter-propagation neural network using experimental data. This system model is employed to simultaneously maximize the material removal rate as well as minimize the surface roughness using simulated annealing scheme. Finally consistency of the method is tested with several initial trail values. Results are shown in the form of tables and figures. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：4471 / 4475

页数：5

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