Frontiers of Mechanical Engineering >

2013 , Vol. 8 >Issue 2: 201 - 214

DOI: https://doi.org/10.1007/s11465-013-0256-8

RESEARCH ARTICLE

Optimization of WEDM process of pure titanium with multiple performance characteristics using Taguchi’s DOE approach and utility concept

  • Rupesh CHALISGAONKAR , 1 ,
  • Jatinder KUMAR 2
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  • 1. Krishna Institute of Engineering and Technology, Ghaziabad-Meerut Highway (NH-58), Ghaziabad, Uttar-Pradesh-201206, India
  • 2. Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, Haryana-136119, India

Received date: 14 Dec 2012

Accepted date: 07 Mar 2013

Published date: 05 Jun 2013

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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Abstract

This paper describes the development of multi response optimization technique using utility method to predict and select the optimal setting of machining parameters in wire electro-discharge machining (WEDM) process. The experimental studies in WEDM process were conducted under varying experimental conditions of process parameters, such as pulse on time(Ton), pulse off time(Toff), peak current (IP), wire feed (WF), wire tension (WT) and servo voltage (SV) using pure titanium as work material. Experiments were planned using Taguchi’s L27 orthogonal array. Multi response optimization was performed for both cutting speed (CS) and surface roughness (SR) using utility concept to find out the optimal process parameter setting. The level of significance of the machining parameters for their effect on the CS and SR was determined by using analysis of variance (ANOVA). Finally, confirmation experiment was performed to validate the effectiveness of the proposed optimal condition.

Key words： wire electro-discharge machining (WEDM); Taguchi method; analysis of variance (ANOVA); utility concept; cutting speed (CS); surface roughness (SR)

Cite this article

Rupesh CHALISGAONKAR , Jatinder KUMAR . Optimization of WEDM process of pure titanium with multiple performance characteristics using Taguchi’s DOE approach and utility concept[J]. Frontiers of Mechanical Engineering, 2013 , 8(2) : 201 -214 . DOI: 10.1007/s11465-013-0256-8

References

Publishing order | Descend order by publishing year | Descend order by cited within
1
Kahles J F, Field M, Eylon D, Froes F H. Grindability of titanium alloys. Journal of Materials, 1985, 37: 27–35

2
Myers J R, Bomberger H B, Froes F J. Corrosion behavior and use of titanium and its alloys. J ournal of Materials, 1984, 36(10): 50–60

3
Ezugwu E O, Bonney J, Yamane Y. An overview of machinability of aeroengine alloys. Journal of Materials Processing Technology, 2003, 134(2): 233–253

DOI

4
Hong H, Riga A T, Gahoon J M, Scott C G. Machinability of steel and titanium alloys under lubrication. Wear, 1993, 162-164: 34–39

DOI

5
Konig W. Effect of drill geometry of uncoated tool when drilling titanium. In: proceedings of 47th Meeting of AGARD Structural and Materials Panel, Florence, 1979, 1–10

6
Dearnley P A, Grearson A N. Evaluation of principal wear mechanisms of cemented carbides and ceramics used for machining titanium alloy IMI 318. Materials Science and Technology, 1986, 2(1): 47–58

DOI

7
Hartung P D, Kramer B M, von Turkovich B F. Tool wear in machining Titanium. CIRP Annals-Manufacturing Technology, 1982, 31(1): 75–80

DOI

8
Tosun N, Cogun C, Tosun G. A study on kerf and material removal rate in wire electrical discharge machining based on Taguchi method. Journal of Materials Processing Technology, 2004, 152(3): 316–322

DOI

9
Mahapatra S S, Patnaik A. Parametric optimization of wire electrical discharge machining (WEDM) process using Taguchi method.Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2006, 28(4): 422–429

DOI

10
Liao Y S, Huang J T, Su H C. A study on the machining-parameters optimization of wire electrical discharge machining. Journal of Materials Processing Technology, 1997, 71(3): 487–493

DOI

11
Han F Z, Jiang J, Yu D W. Influence of machining parameters on surface roughness in finish cut of WEDM. International Journal of Advanced Manufacturing Technology, 2007, 34(5-6): 538–546

DOI

12
Kanlayasiri K, Boonmung S. Effects of wire-EDM machining variables on surface roughness of newly developed DC 53 die steel: Design of experiments and regression model. Journal of Materials Processing Technology, 2007, 192-193: 459–464

DOI

13
Ramakrishnan R, Karunamoorthy L. Modeling and multi-response optimization of Inconel 718 on machining of CNC WEDM process. Journal of Materials Processing Technology, 2008, 207(1-3): 343–349

DOI

14
Gökler M İ, Ozanözgü A M. Experimental investigation of effects of cutting parameters on surface roughness in the WEDM process. International Journal of Machine Tools & Manufacture, 2000, 40(13): 1831–1848

DOI

15
Tosun N, Cogun C. An investigation on wire wear in WEDM. Journal of Materials Processing Technology, 2003, 134(3): 273–278

DOI

16
Prohaszka J, Mamalis A G, Vaxevanidis N M. The effect of electrode material on machinability in wire electro-discharge machining. Journal of Materials Processing Technology, 1997, 69(1-3): 233–237

DOI

17
Balasubramanian G,Ganapathy S. Grey relational analysis to determine optimum process parameters for wire electro discharge machining (WEDM). International Journal of Engineering Science and Technology, 2011, 3(1): 95–101

18
Lin J L, Lin C L. The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics. International Journal of Machine Tools & Manufacture, 2002, 42(2): 237–244

DOI

19
Jangra K, Jain A, Grover S. Optimization of multiple-machining characteristics in wire electrical discharge machining of punching die using grey relational analysis. Journal of Scientific and Industrial Research, 2010, 69(8): 606–612

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