Title: Optimisation of EDM process for MRR, TWR and radial overcut of D2 steel: a hybrid RSM-GRA and entropy weight-based TOPSIS approach

Authors: Mohan Kumar Pradhan

Addresses: Department of Mechanical Engineering, Maulana Azad National Institute of Technology, Bhopal, India

Abstract: In this research, a distinct combination of response surface methodology (RSM), gray relational analysis (GRA) with Shannon's entropy measurement-based technique for order preference by similarity to ideal solution (TOPSIS) method has been suggested to assess, improve and estimate the influence of the process parameters on responses characteristics. The electrical discharge machining (EDM), parameters pulse current (Ip), pulse duration (Ton), duty cycle (Tau) and discharge voltage (V) were input, and, material removal rate (MRR), tool wear rate (TWR) and radial overcut or gap (G) were considered as output parameters. The R² value for the relative closeness was found to be 96.83%. The ANOVA reveals that Ip is the most influencing parameter with 46.49% contribution followed by Ton, Tau and V with 13.92%, 7.35% and 2.8%, respectively. The interaction of parameters contributes 15.26%. This study can be used as a scientific source for parameter optimisation in concerned manufacturing processes.

Keywords: multi-criteria decision making; electrical discharge machining; EDM; material removal rate; MRR; tool wear rate; TWR; radial overcut or gap; response surface methodology; RSM; grey relational analysis; GRA; Shannons entropy; TOPSIS.

DOI: 10.1504/IJISE.2018.093047

International Journal of Industrial and Systems Engineering, 2018 Vol.29 No.3, pp.273 - 302

Received: 22 Jan 2016
Accepted: 03 Jul 2016
Published online: 05 Jul 2018 *

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