Title: Multi-optimisation of electric discharge machining parameters for cryogenically treated pure titanium using grey-Taguchi technique

Authors: Sanjeev Kumar; Rupinder Singh; Ajay Batish; T.P. Singh; Rajdeep Singh

Addresses: Department of Mechanical Engineering, Chandigarh Engineering College, Landran (Mohali), 147004, Punjab, India ' Department of Production Engineering, Guru Nanak Dev Engineering College, Gill Road, Gill Park, Ludhiana-141006, Punjab, India ' Department of Mechanical Engineering, Thapar University, Patiala-147004, Punjab, India ' Symbiosis Institute of Technology, Symbiosis International University, Lupin Research Park, Lavale, Tal: Mulshi, Pune 411042, India ' Department of Mechanical Engineering, Chandigarh Engineering College, Landran (Mohali), 147004, Punjab, India

Abstract: In this paper, optimisation of process parameters using grey relational analysis (GRA) based on Taguchi approach in powder mixed electric discharge machining (PM-EDM) of cryogenically treated pure titanium with cryogenically treated electrodes considering multiple machining characteristics is reported. Material removal rate (MRR), tool wear rate (TWR), surface roughness (SR) and micro-hardness (MH) were identified as the EDM performance characteristics. Four input parameters chosen in the present study were peak current, pulse-on-time, different types of electrode material and cryogenic treatment (CT) of electrode materials. Shallow cryogenic treatment (SCT) and deep cryogenic treatment (DCT) were employed on electrode materials to study their effects on machining performance of DCT titanium. A suitable L9 orthogonal array (OA) was selected to assign the four parameters and thereafter, experiments were carried out accordingly. The analysis of variance (ANOVA) was applied to identify the most significant process parameter. Peak current was observed as the most significant machine parameter for machining of DCT titanium. The suggested optimal trial condition was verified through confirmation experiment and significant improvement in performance characteristics was observed.

Keywords: electric discharge machining; EDM; analysis of variance; ANOVA; Taguchi; cryogenic treatment; grey relational analysis; GRA; optimisation.

DOI: 10.1504/IJMMM.2018.093532

International Journal of Machining and Machinability of Materials, 2018 Vol.20 No.3, pp.214 - 235

Received: 15 Aug 2016
Accepted: 07 May 2017

Published online: 27 Jul 2018 *

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