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

共 50 条

[1] A feasibility approach by simulated annealing on optimization of micro-wire electric discharge machining parameters
K. P. Somashekhar
Jose Mathew
N. Ramachandran
The International Journal of Advanced Manufacturing Technology, 2012, 61 : 1209 - 1213
[2] A feasibility approach by simulated annealing on optimization of micro-wire electric discharge machining parameters
Somashekhar, K. P.
Mathew, Jose
Ramachandran, N.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 61 (9-12): : 1209 - 1213
[3] A feasibility approach by simulated annealing on optimization of micro-wire electric discharge machining parameters
Somashekhar, K.P.
Mathew, Jose
Ramachandran, N.
International Journal of Advanced Manufacturing Technology, 2012, 61 (9-12): : 1209 - 1213
[4] Optimization of wire electrical discharge machining for pure tungsten using a neural network integrated simulated annealing approach
Chen, Hsien-Ching
Lin, Jen-Chang
Yang, Yung-Kuang
Tsai, Chih-Hung
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (10) : 7147 - 7153
[5] Machining condition optimization by genetic algorithms and simulated annealing
Khan, Z
Prasad, B
Singh, T
COMPUTERS & OPERATIONS RESEARCH, 1997, 24 (07) : 647 - 657
[6] Tool Path Optimization for Energy Efficient Machining Using Exhaustive and Simulated Annealing
Li, Xiaoxia
Wang, Qinggang
Zhang, Jun
Liu, Jianxiao
2016 SIXTH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST), 2016, : 362 - 365
[7] Machining sequencing optimization based on Simulated Annealing Algorithm
Qiao, Lihong
Hu, Quanwei
Zhang, Hongwei
ADVANCED MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 472-475 : 1632 - +
[8] Optimization Of Electric Discharge Machining process parameters using Carbon Nanotubes
Bari, Prasad
Chauhan, Santosh
Patil, Kishan
Mhasde, Sanket
Dharmadhikari, Aniket
2017 INTERNATIONAL CONFERENCE ON NASCENT TECHNOLOGIES IN ENGINEERING (ICNTE-2017), 2017,
[9] Geometric Optimization of Thermo-electric Coolers Using Simulated Annealing
Khanh, D. V. K.
Vasant, P. M.
Elamvazuthi, I.
Dieu, V. N.
7TH INTERNATIONAL CONFERENCE ON COOLING & HEATING TECHNOLOGIES (ICCHT 2014), 2015, 88
[10] OPTIMIZATION USING SIMULATED ANNEALING
BROOKS, SP
MORGAN, BJT
STATISTICIAN, 1995, 44 (02): : 241 - 257

← 1 2 3 4 5 →