Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/55688
Title: Optimization of process variables in electric discharge machining (EDM) using Taguchi methodology
Authors: Kumar, Sudhir
Ghoshal, Sanjoy Kumar
Arora, Pawan Kumar
Keywords: EDM;AISI420 steel;Taguchi Method;ANOVA
Issue Date: Aug-2020
Publisher: NISCAIR-CSIR, India
Abstract: The present study engrossed with the functional relationship between the input and output parameters of the electric discharge machining (EDM). Four controllable machining parameters, viz. gap voltage (A), current (Ip), duty cycle (C) and pulse on time (Ton) have been chosen to ascertain the electrode wear rate (EWR) and surface roughness (SR) of AISI 420 material with copper electrode. Through Taguchi method, a design of experiment developed and it has been used to perform the experiment based on L16 orthogonal array (OA). During machining of AISI420, the highest influencing factor in EWR is IP and least is C. Similarly, for SR Ton is most and C is least significant factor. From analysis of variance (ANOVA), for EWR, IP is having most significant 79.43% contribution and C is having least significant 2.36 % contribution. Similarly, for SR, Ton is having most significant 39.95% contribution and A is having least significant 11.79 % contribution.
Page(s): 819-825
URI: http://nopr.niscair.res.in/handle/123456789/55688
ISSN: 0975-1017 (Online); 0971-4588 (Print)
Appears in Collections:IJEMS Vol.27(4) [August 2020]

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