e-ISSN 2231-8526
ISSN 0128-7680
Kumar, D., Payal, H. S. and Beri, N.
Pertanika Journal of Science & Technology, Volume 25, Issue 4, October 2017
Keywords: Abrasives, ANOVA, EDM, EDS, Grey relational analysis, Powder metallurgy, SEM
Published on: 09 Oct 2017
Confront exercise deals with the influence of parameters, such as polarity, electrode type, concentration of abrasive powder, peak current, voltage and duty cycle by using Taguchi's L36 mixed orthogonal array on M2 tool steel with 99% copper and powder metallurgy copper-titanium (Cu-Ti) by electric discharge machining (EDM) process with and without abrasive powder mixed dielectric for material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR). The parameters affecting the MRR, TWR and SR should be recognised and optimised for desired results using Main effects plot for Means and analysis of variance (ANOVA). Grey relation analysis optimises the results by following normalised, dev. Seq. Δ and Grey relational coefficient Φ values to convert into single Grade. The confirmation experiment test can be done to formalise the present work with optimal set of parameters and Rank. Grey relation analysis found that the copper-titanium tool electrode gives better results with powder mixed dielectric and to meliorate machining performance and shows improvement in overall outcomes up to 17-27%. Scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) analysis are employed for the work surface quality assurance in this research.
ISSN 0128-7680
e-ISSN 2231-8526