Title: Modelling and parametric optimisation of deposited layer thickness in electric discharge coating process

Authors: Abhishek Das; Joy Prakash Misra

Addresses: Warwick Manufacturing Group, University of Warwick, UK ' Department of Mechanical Engineering, National Institute of Technology Kurukshetra, Kurukshetra-136119, India

Abstract: Electric discharge coating (EDC) process is used for producing coating of hard carbides on worksurface through chemical reaction of transferred tool electrode material and the carbon decomposed from the dielectric at high temperature. This paper presents the modelling of deposited layer thickness in EDC using response surface methodology (RSM) and artificial neural network (ANN). Four factors, three levels Box-Behnken design of RSM has been designed to carry out the experimentation. The experimental outcomes are used to train the ANN model. A comparative study has been carried out to evaluate the performance of both the modelling techniques. Parametric optimisation of the process has been carried out using genetic algorithm (GA). Confirmation experiment has also been carried out to validate the analytical study.

Keywords: electric discharge machining; EDM; electric discharge coating; EDC; surface modification; response surface methodology; RSM; artificial neural networks; ANNs; genetic algorithms; modelling; parametric optimisation; layer thickness; electro-discharge coating; electro-discharge machining; carbide coatings.

DOI: 10.1504/IJSURFSE.2016.076997

International Journal of Surface Science and Engineering, 2016 Vol.10 No.3, pp.253 - 271

Received: 02 Dec 2014
Accepted: 10 Mar 2015

Published online: 17 Jun 2016 *

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