Indian Journal of Engineering & Materials Sciences

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Optimization of process variables in electric discharge machining (EDM) using Taguchi methodology


Affiliations
1 Mechanical Engineering Department, Indian Institute of Technology (Indian School of Mines), Dhanbad 826004, Jharkhand, India
2 Mechanical Engineering Department, Galgotia College of Engineering and Technology, G B Nagar 201306, Uttar Pradesh, India

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.
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  • Optimization of process variables in electric discharge machining (EDM) using Taguchi methodology

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Authors

Sudhir Kumar
Mechanical Engineering Department, Indian Institute of Technology (Indian School of Mines), Dhanbad 826004, Jharkhand, India
Sanjoy Kumar Ghoshal
Mechanical Engineering Department, Indian Institute of Technology (Indian School of Mines), Dhanbad 826004, Jharkhand, India
Pawan Kumar Arora
Mechanical Engineering Department, Galgotia College of Engineering and Technology, G B Nagar 201306, Uttar Pradesh, 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.