Multi-Objective Optimization of Electric Discharge Machining for Inconel 718

Electric discharge machining (EDM) is one of the most widely used non-conventional manufacturing process to shape difficult-to-cut materials. The process yield, in terms of material removal rate, surface roughness and tool wear rate, of EDM may considerably be improved by selecting the optimal combination(s) of process parameters. This paper employs Multi-response signal-to-noise (MRSN) ratio technique to find the optimal combination(s) of the process parameters during EDM of Inconel 718. Three cases v.i.z. high cutting efficiency, high surface finish, and normal machining have been taken and the optimal combinations of input parameters have been obtained for each case. Analysis of variance (ANOVA) has been employed to find the dominant parameter(s) in all three cases. The experimental verification of the obtained results has also been made. MRSN ratio technique found to be a simple and effective multi-objective optimization technique.

• Pushpendra S. Bharti
• S. Maheshwari

• EDM
• material removal rate
• multi-response signal-to-noise ratio
• optimization
• surface roughness.

[1] E. O. Ezugwu, Z. M. Wang, A.R. Machado, "The machinability of nickel-based alloys: a review", J. Mater. Process. Technol., Vol. 86, pp. 1-16, 1999.
[2] K. H. Ho, S. T. Newman, "State of the art electrical discharge machining (EDM)", Int. J. Machine Tools Manuf., Vol. 43, pp. 1287-1300, 2003.
[3] A. Varun, Nasina Venkaiah, "Simultaneous optimization of WEDM response using grey relation analysis coupled with genetic algorithm while machining EN 353", Int. J. Adv. Manuf. Technol., Vol 76, Issue 1, pp 675-690, 2015.
[4] Masoud Azadi Moghaddam, Farhad Kolahan, "An empirical study on statistical analysis and optimization of EDM process parameters for inconel 718 super alloy using D-optimal approach and genetic algorithm", J. Comput. Appl. Mech., Vol. 46, Issue 2, pp. 267-277, 2015.
[5] Masoud Azadi Moghaddam, Farhad Kolahan, "An optimized back-propagation approach and simulated annealing algorithm towards optimization of EDM process parameters, Int. J. Manuf. Research, Vol. 10, Issue 3, pp. 215-236, 2015.
[6] S. S. Baraskar, S. S. Banwait, S. C. Laroiya, "Multi-objective Optimization of Electric Discharge Machining Process Using a Hybrid Method", Mater. Manuf. Process., Vol. 28 348–354, 2013.
[7] Pushpendra S. Bharti, S. Maheshwari, C. Sharma, "Multi-objective optimization of electric-discharge machining process using controlled elitist NSGA-II", J. Mech. Science Technol., Vol. 26(6), pp. 1-9, 2012.
[8] Ramakrishnan, R, & Karunamoorthy, L., "Multi-response optimization of wire EDM operations using robust design of experiments", Int. J. Adv. Manuf. Technol., Vol. 29, Issue 1, pp. 105-112. 2006.
[9] Ramakrishnan, R, & Karunamoorthy, L., "Modeling and multi-response optimization of Inconel 718 on machining of CNC WEDM process", J. Mater. Process. Technol. Vol. 207, No. 1, pp.343-349, 2008.
[10] Pushpendra S. Bharti, S. Maheshwari and C. Sharma, "Multi-objective Optimization of Die-Sinking Electric Discharge Machining", Applied Mechanics and Materials, Vols. 110-116, pp 1817-1824, 2012.