Taguchi Analysis of MRR and PC for Sustainable Machining of Ti6Al4V Alloy Using WEDM Process

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Wire-cut electrical discharge machining (WEDM) has emerged as the most important non-traditional machining technique in the recent years due to its exceptional accuracy and capability to produce net near shape components of electrically conductive materials. Ti-6Al-4V alloy is a hard-to-machine material and popularly used in bio-medical, aerospace, automotive, defence applications etc. due to its distinct merits. In this work, Taguchi optimization technique is applied to obtain optimum cutting conditions for material removal rate (MRR) and power consumption (PC) in WEDM of Ti6Al4V alloy. The result showed 16.38% improvement in MRR and 10.36% reduction in PC at the optimal parameter settings compared to initial cutting conditions. ANOVA result established pulse off time and current as highly significant process parameters affecting MRR (I: 56.58%, Toff: 23.57%) and PC (Toff: 43.26%, I: 31.24%). The response surface variation PC and MRR is studied using 3D plots. Surface morphology of machined component using scanning electron microscope images is also discussed.

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May 2021

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[1] A.K. Zahid, N.S. Arshad, Z.K. Noor, K. Urfi, G.A. Quadir, Multi response optimization of wire electrical discharge machining process parameters using Taguchi based grey relational analysis. Procedia Mater. Sci. 6 (2014) 1683-1695.

DOI: 10.1016/j.mspro.2014.07.154

Google Scholar

[2] A.V.S. Ramprasad, K. Ramji, G.L. Datta, An experimental study on Wire EDM on Ti-6Al-4V alloy. Procedia Mater. Sci. 5 (2014) 2567-2576.

DOI: 10.1016/j.mspro.2014.07.517

Google Scholar

[3] V. Upadhyay, P.K. Jain, N.K. Mehta, Artificial neural network modelling of cutting forces in turning of Ti-6Al-4V alloy and its comparison with response surface methodology. Proceedings of International Conference on SocPros. (2011) 761-768.

DOI: 10.1007/978-81-322-0491-6_69

Google Scholar

[4] F. Yinsheng, C. Li, J. Bai, Q. Li, Experimental study on energy consumption of energy saving pulse power for WEDM. Int. J. Adv. Manuf. Technol. 72 (2014) 1687-1691.

DOI: 10.1007/s00170-014-5791-x

Google Scholar

[5] P. SalmanP, D. Ibrahim, D. Basil, Power consumption and tool wear assessment when machining Titanium alloys. Int. J. Prec. Eng. Manuf. 14 (2013) 925-936.

DOI: 10.1007/s12541-013-0122-y

Google Scholar

[6] A. Dasgupta, P. Dutta, M. Majumder, S.C. Panja, Impact of change in machining time, MRR in WEDM modelled by ANN-RSM. J. Indus. Eng. Adv. 2(1) (2017) 1-13.

Google Scholar

[7] S.S. Mahapatra, P. Amar, Parametric optimization of wire electrical discharge machining (WEDM) process using Taguchi method. J. Braz. Soc. Mech. Sci. Eng. 28(4) (2006) 422-429.

DOI: 10.1590/s1678-58782006000400006

Google Scholar

[8] Makkapati S, Reddy MR, Joshi B, Praveen JP, Rao BN. Optimum WEDM process parameters of Incoloy alloy800 using Taguchi method. Int. J. Ind., Manuf. Sys. Eng. 1(3) (2016) 64-68.

Google Scholar

[9] V. Muthukumar, B.A. Suresh, R. Venkatasamy, M. Raajenthiren, Optimization of the WEDM parameters on machining Incoloy 800 super alloy with multiple quality characteristics. Int. J. Sci. Eng. Tech. 2(6) (2010) 1538-1547.

Google Scholar

[10] A. Mandal, A.R. Dixit, A.K. Das, N. Mandal, Modeling and optimization of machining Nimonic C-263 super alloy using multi cut strategy in WEDM. Mater. Manuf. Processes. 31 (2016) 860–868.

DOI: 10.1080/10426914.2015.1048462

Google Scholar

[11] H.R. Tonday, A.M. Tigga, Analysis of effects of cutting parameters of wire electrical discharge machining on material removal rate and surface integrity. IOP Conf. Ser. Mater. Sci. Eng. 115 (2016) 1-7.

DOI: 10.1088/1757-899x/115/1/012013

Google Scholar

[12] D. Devarasiddappa, M. Chandrasekaran, Evaluation of power consumption and MRR in WEDM of Ti–6Al–4V alloy and its simultaneous optimization for sustainable production. J. Braz. Soc. Mech. Sci. Eng. 40 (400) (2018).

DOI: 10.1007/s40430-018-1318-y

Google Scholar

[13] S. Choudhary, K. Kant, P. Saini, Analysis of MRR and SR with different electrode for SS 316 on die-sinking EDM using Taguchi technique. Glob. J. Res. Eng., Mech. Mecs. Eng. 13(3) (2013) 15-21.

Google Scholar

[14] S.F. Miller, J.S. Albert, J. Qu, Investigation of the spark cycle on material removal rate in wire electrical discharge machining of advanced materials. Int. J. Mach. Tool. Manuf. 44 (2004) 391-400.

DOI: 10.1016/j.ijmachtools.2003.10.005

Google Scholar