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

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Das, Abhishek and Misra, J. P. (2016) Modelling and parametric optimisation of deposited layer thickness in electric discharge coating process. International Journal of Surface Science and Engineering, 10 (3). pp. 253-271. doi:10.1504/IJSURFSE.2016.076997

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Official URL: https://doi.org/10.1504/IJSURFSE.2016.076997

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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.

Item Type: Journal Article
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TS Manufactures
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: International Journal of Surface Science and Engineering
Publisher: Interscience Publishers
ISSN: 1749-785X
Official Date: 17 June 2016
Dates:
DateEvent
17 June 2016Published
1 June 2016Accepted
Volume: 10
Number: 3
Page Range: pp. 253-271
DOI: 10.1504/IJSURFSE.2016.076997
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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