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Advances in Production Engineering & Management

Archives > Volume 14 | Number 2 | June 2019 > pp 251–263

Advances in Production Engineering & Management
Volume 14 | Number 2 | June 2019 | pp 251–263

https://doi.org/10.14743/apem2019.2.326

Experimental investigation and multi-objective optimization of micro-wire electrical discharge machining of a titanium alloy using Jaya algorithm
Singh, M.; Ramkumar, J.; Rao, R.V.; Balic, J.
ABSTRACT AND REFERENCES (PDF)  |  FULL ARTICLE TEXT (PDF)

A B S T R A C T
Micro-wire electrical discharge machining (Micro-WEDM) process exhibits superior precision and greater relative accuracy for the efficient machining of difficult-to-machine materials. The micro-slit cutting operation using WEDM process has been experimentally investigated for the objective of analysing the average kerf-loss and responses pertaining to the economic viability of the process viz. average cutting rate and volumetric material removal rate (MRRv). The experiments are performed using a Tungsten wire of diameter 70 μm on titanium grade 5 alloy (Ti-6Al-4V). Three different controllable process variables (input parameters) associated with the Resistance-Capacitance (RC) based power generator namely discharge energy, wire feed-rate and wire travelling speed are varied to demonstrate their impacts on typical responses such as average kerf-loss, average cutting rate and MRRv. The experimental analysis revealed a close relationship that cutting rate bears with discharge energy, wire feed-rate and efficient flushing of molten liquid as well as fine debris particles. An advanced multi-objective optimization technique popularly known as Multi Objective-Jaya (MO-Jaya) algorithm has been adopted for the simultaneous optimization of average kerf-loss, average cutting rate and volumetric material removal rate. The best set of input parameters have been selected to suggest the most optimum responses for micro wire-cutting operations.

A R T I C L E   I N F O
Keywords • Micro-wire electrical discharge machining (Micro-WEDM); Multi-objective optimization; Titanium alloy; Kerf-loss; Cutting rate; Volumetric material removal rate; Feed-rate; Jaya algorithm; Multi objective-Jaya algorithm (MO-Jaya)
Corresponding authorRao, R.V.
Article history • Received 2 November 2018, Revised 5 May 2019, Accepted 27 May 2019
Published on-line • 9 June 2019

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