Application of response surface methodology and genetic algorithm for optimisation of electro-discharge diamond face grinding of tungsten carbide-cobalt composite Online publication date: Sat, 30-Aug-2014
by Ravindra Nath Yadav; Vinod Yadava; G.K. Singh
International Journal of Industrial and Systems Engineering (IJISE), Vol. 18, No. 1, 2014
Abstract: The objective of this paper is to optimise the electrical discharge diamond face grinding (EDDFG) process. The experiments were performed on a self developed face grinding setup, which is attached with vertical column of EDM machine. The experiments were conducted on tungsten carbide-cobalt (WC-Co) composite workpiece considering the simultaneous effect of wheel speed, pulse current, pulse on-time and duty factor on material removal rate (MRR) and average surface roughness (Ra). The experiments were conducted according to the central composite rotatable design (CCRD) and developed a mathematical model to predict the relation between input-output parameters using response surface methodology (RSM). The developed RSM model is coupled with non-dominated sorting genetic algorithm (NSGA-II) to optimise the process parameters. Finally optimal solution obtained from Pareto front is presented and compared with experimental results.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and 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 subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook