A study on the performance of some multi-response optimisation methods for WEDM processes

被引:35
作者
Gauri, Susanta Kumar [2 ]
Chakraborty, Shankar [1 ]
机构
[1] Jadavpur Univ, Dept Prod Engn, Kolkata 700032, W Bengal, India
[2] Indian Stat Inst, SQC & OR Unit, Kolkata 700108, India
关键词
Taguchi method; Signal-to-noise ratio; Optimisation; Multiple responses; WEDM process; TAGUCHI METHOD; WIRE; PARAMETERS;
D O I
10.1007/s00170-009-2391-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wire electrical discharge machining (WEDM) processes are having several performance measures which are affected by different process parameters. In the recent past, researchers have attempted several systematic procedures for optimising the multiple responses of WEDM processes. However, most of these approaches use complex statistical/mathematical tools and are, therefore, impractical for application by the engineers who may not have a strong background in mathematics. Only a few methods, e.g., grey relational analysis and multiple response signal-to-noise ratio approaches use relatively simpler computational procedures. On the other hand, the computational procedures for the weighted signal-to-noise (WSN) ratio and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian) methods are also quite simpler and, therefore, can easily be implemented by the engineers. However, an engineer needs to select the method that can give the best optimisation performance for the process. In this paper, the computational requirements for these four multi-response optimisation methods are standardised. Two sets of experimental data on WEDM processes are analysed using these standardised multi-response optimisation methods, and their relative performances are then compared. The results show that no method can lead to better optimisation than the WSN ratio method.
引用
收藏
页码:155 / 166
页数:12
相关论文
共 24 条
[1]  
Bendell A., 1989, TAGUCHI METHODS
[2]  
Castillo E., 1993, J QUAL TECHNOL, V25, P199
[3]   Optimization of the WEDM process of particle-reinforced material with multiple performance characteristics using grey relational analysis [J].
Chiang, Ko-Ta ;
Chang, Fu-Ping .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2006, 180 (1-3) :96-101
[4]   Optimization of TQFP molding process using neuro-fuzzy-GA approach [J].
Chiang, TL ;
Su, CT .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2003, 147 (01) :156-164
[5]   Optimisation of multiple responses for WEDM processes using weighted principal components [J].
Gauri, Susanta Kumar ;
Chakraborty, Shankar .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 40 (11-12) :1102-1110
[6]   Determination of finish-cutting operation number and machining-parameters setting in wire electrical discharge machining [J].
Huang, JT ;
Liao, YS ;
Hsue, WJ .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1999, 87 (1-3) :69-81
[7]   Multi-response optimization using weighted principal component [J].
Liao, HC .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 27 (7-8) :720-725
[8]   A study on the machining-parameters optimization of wire electrical discharge machining [J].
Liao, YS ;
Huang, JT ;
Su, HC .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1997, 71 (03) :487-493
[9]   Optimization of wire electrical discharge machining (WEDM) process parameters using Taguchi method [J].
Mahapatra, S. S. ;
Patnaik, Amar .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2007, 34 (9-10) :911-925
[10]  
McGeough J., 1988, ADV METHODS MACHININ