Optimization of Process Parameters on Die-Sinking EDM with Twin Tool Setup Using Taguchi Method

B. Vinod Kumar*, Cuddapah**, M. Chandra Sekhara Reddy***
* PG Student, Department of Mechanical Engineering, Sri Venkateswara College of Engineering, Tirupati, Andra Pradesh, India.
** Associate Professor, Department of Mechanical Engineering, Sri Venkateswara College of Engineering, Tirupati, Andra Pradesh, India.
*** Professor and Head, Department of Mechanical Engineering, Sri Venkateswara College of Engineering, Tirupati, Andra Pradesh, India.
Periodicity:May - July'2018
DOI : https://doi.org/10.26634/jme.8.3.14736

Abstract

The present research work concentrated on optimization of process parameters to explore the effects of electrode material, Voltage and Duty Cycle in Die-Sinking Electrical Discharge Machine (DSEDM) with Twin Tool Setup. In this experiment, Material Removal Rate (MRR) and Tool Wear Rate (TWR) in machining of Through holes on Copper workpiece, using a couple of copper and steel electrodes with straight polarity have been calculated. In view of the experiments and using Taguchi's design of experiments, response tables and graphs have been made. For high MRR and low TWR, the most significant factor is Voltage. Based on the optimization results from Signal-to-Noise ratios (S/N ratios), it is observed that high MRR is obtained for Copper (Cu) electrode, 55 V and 70% duty cycle, and low TWR for Stainless Steel (SS) electrode, 55 V and 70% duty cycle. Additionally, a comparison is made amongst copper and steel electrodes based on Machining time, MRR and TWR; it is observed that copper electrode is the best material for machining of Through holes on copper workpiece.

Keywords

Die-Sinking EDM, Twin Tool Setup, Material Removal Rate, Tool Wear Rate, Design of Experiments, Taguchi Approach.

How to Cite this Article?

Kumar, B.V., Devi, D. J. J., and Reddy, M. C. S. (2018). Optimization of Process Parameters on Die-Sinking EDM with Twin Tool Setup Using Taguchi Method. i-manager’s Journal on Mechanical Engineering, 8(3), 31-38. https://doi.org/10.26634/jme.8.3.14736

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