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Growing Science » International Journal of Industrial Engineering Computations » Simultaneous optimization of material removal rate and surface roughness for WEDM of WC-Co composite using grey relational analysis along with Taguchi method

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 2 Issue 3 pp. 479-490 , 2011

Simultaneous optimization of material removal rate and surface roughness for WEDM of WC-Co composite using grey relational analysis along with Taguchi method Pages 479-490 Right click to download the paper Download PDF

Authors: Kamal Jangra, Sandeep Grover, Aman Aggarwal

DOI: 10.5267/j.ijiec.2011.04.005

Keywords: Grey relational analysis, Taguchi method, Tungsten carbide composite, Wire electrical discharge

Abstract: In this paper, wire electrical discharge machining of WC-Co composite is studied. Influence of taper angle, peak current, pulse-on time, pulse-off time, wire tension and dielectric flow rate are investigated for material removal rate (MRR) and surface roughness (SR) during intricate machining of a carbide block. In order to optimize MRR and SR simultaneously, grey relational analysis (GRA) is employed along with Taguchi method. Through GRA, grey relational grade is used as a performance index to determine the optimal setting of process parameters for multiple machining characteristics. Analysis of variance (ANOVA) shows that the taper angle and pulse-on time are the most significant parameters affecting the multiple machining characteristics. Confirmatory results, proves the potential of GRA to optimize process parameters successfully for multi-machining characteristics.

How to cite this paper
Jangra, K., Grover, S & Aggarwal, A. (2011). Simultaneous optimization of material removal rate and surface roughness for WEDM of WC-Co composite using grey relational analysis along with Taguchi method.International Journal of Industrial Engineering Computations , 2(3), 479-490.

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Journal: International Journal of Industrial Engineering Computations | Year: 2011 | Volume: 2 | Issue: 3 | Views: 4285 | Reviews: 0

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