Modelling and parametric optimisation of deposited layer thickness in electric discharge coating process
by Abhishek Das; Joy Prakash Misra
International Journal of Surface Science and Engineering (IJSURFSE), Vol. 10, No. 3, 2016

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.

Online publication date: Fri, 17-Jun-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Surface Science and Engineering (IJSURFSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email