Optimization of Multiple Response Characteristics in the WEDM Process of Buderus 2379 ISO-B Tool Steel Using Taguchi-Grey-Fuzzy Logic Method

Article Preview

Abstract:

In this study, the optimization of cutting width (Kerf), material removal rate (MRR), surface roughness (SR) and recast layer (RL) in WEDM was investigated by using Taguchi-Grey-Fuzzy logic method. The experiments have been conducted under varying arc on time, on time, off time, open voltage and servo voltage. An orthogonal array, signal-to-noise (S/N) ratio, grey relational analysis, grey-fuzzy reasoning grade and analysis of variance were employed to study the performance characteristics in the WEDM process of Buderus 2379 ISO-B tool steel. Experimental results show that on time gives the highest contribution for reducing the total variation of the multiple responses, followed by off time, open voltage, servo voltage and arc on time. The optimum performance characteristics could be obtained by using the values of AN, ON, OFF, OV and SV of 1 A, 1 µs, 15 µs, 95 V and 55 V respectively.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

185-190

Citation:

Online since:

June 2016

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2016 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] R. Garg and H. Singh, Effects of process parameters on output characteristics in WEDM, International Journal of Manufacturing Science and Technology, 2 (2008) 103-112.

Google Scholar

[2] N. Tosun, C. Cogun, and G. Tosun, A study on kerf and material removal rate in wire electrical discharge machining based on Taguchi method, J. Mater. Process. Technol. 152 (2004) 316–322.

DOI: 10.1016/j.jmatprotec.2004.04.373

Google Scholar

[3] M. A. Hassan, M. S Mehat, S. Sharif, R. Daud, S. H. Tomadi and M. S. Reza, Study of The Surface Integrity of AISI 4140 Steel in Wire-Electrical Discharge Machining, Proceedings of the International Multi Conference of Engineers and Computer Scientists, 2 (2009).

Google Scholar

[4] A. Hascalik and U. Caydas, Electrical discharge machining of titanium alloy (Ti-6Al-4V), Applied Surface Science, vol. 253 (2007) 9007-9016.

DOI: 10.1016/j.apsusc.2007.05.031

Google Scholar

[5] J.L. Lin, K.S. Wang, B.H. Yan, Y.S. Tarng, Optimization of the electrical discharge machining process based on the Taguchi method with fuzzy logics, J. Mater. Process. Technol. 102 (2000) 48–55.

DOI: 10.1016/s0924-0136(00)00438-6

Google Scholar

[6] A. Kumar, Parametric study and optimization of WEDM process parameters of pure titanium, Thapar University, India (2004).

Google Scholar

[7] G. Taguchi, Introduction to Quality Engineering, Asian Productivity Organization, Tokyo (1990).

Google Scholar

[8] B O. P. Soepangkat and B. Pramujati, Optimization of Surface Roughness and Recast Layer Thickness in the Wire-EDM Process of AISI D2 Tool Steel using Taguchi-Grey-Fuzzy, Applied Mechanics and Materials. 393 (2013) 21-28.

DOI: 10.4028/www.scientific.net/amm.393.21

Google Scholar

[9] D.K.W. Ng, Grey system and grey relational model, ACM SIGIGE Bulletin 20 (1994) 1-9.

Google Scholar