Multi-Objective Optimization of Pulse Parameters in EDM for Improved Machining Performance

Authors

  • Shivaji G. Badekar

Keywords:

EDM, pulse-on time, pulse-off time, MRR, surface roughness, Taguchi, ANOVA, optimization

Abstract

Electrical Discharge Machining (EDM) is an advanced non-traditional machining process used for machining hard and electrically conductive materials. The machining performance mainly depends on process parameters such as peak current, pulse-on time, pulse-off time, voltage, duty cycle, electrode material, dielectric flushing, and polarity. These parameters significantly influence Material Removal Rate (MRR), Tool Wear Rate (TWR), and Surface Roughness (Ra). This paper presents a complete experimental and statistical investigation of pulse parameters in die-sinking EDM. Peak current, pulse-on time, and pulse-off time were varied using a Taguchi L9 orthogonal array to study their effects on material removal rate (MRR) and surface roughness (Ra). ANOVA, response plots, and literature-supported discussion are used to determine the optimum setting for balanced machining performance suitable for industrial die and mould applications.

Downloads

Download data is not yet available.

References

N. Ma, X. Yang, and M. Gao, “A study of EDM–PECM combined machining for high surface quality holes,” International Journal of Advanced Manufacturing Technology, vol. 82, pp. 2069–2080, 2015.

[2] A. Razeghiyadaki, C. Molardi, D. Talamona, and A. Perveen, “Modeling of material removal rate and surface roughness generated during electro-discharge machining,” Machines, vol. 7, no. 2, p. 47, 2019.

S. Tripathy and D. K. Tripathy, “Multi-response optimization of machining parameters in EDM using Taguchi method and grey relational analysis,” Engineering Science and Technology, an International Journal, vol. 22, no. 1, pp. 1–12, 2019.

M. Prakash and V. Kumar, “Optimization of EDM process parameters using Taguchi method for EN31 steel,” Materials Today: Proceedings, vol. 18, pp. 2921–2928, 2019.

R. Bobbili and V. Madhu, “Optimization of process parameters in electrical discharge machining using response surface methodology,” Journal of Manufacturing Processes, vol. 45, pp. 845–854, 2019.

S. D. Kumar, “Effect of EDM process parameters on material removal rate: A review,” Materials Today: Proceedings, vol. 21, pp. 1453–1458, 2020.

A. K. Sharma and A. R. Dixit, “Optimization of EDM parameters for machining of difficult-to-machine materials using multi-objective techniques,” Materials and Manufacturing Processes, vol. 35, no. 3, pp. 348–356, 2020.

P. Sivaprakasam, R. Hariharan, and S. Gowri, “Experimental investigation and multi-objective optimization of EDM parameters using Grey-Taguchi method,” Materials Today: Proceedings, vol. 26, pp. 2819–2823, 2020.

N. Kumar and R. Khanna, “Modeling and optimization of EDM process parameters for MRR and surface roughness using ANOVA and RSM,” Journal of Materials Research and Technology, vol. 9, no. 4, pp. 8804–8814, 2020.

S. K. Choudhary and R. K. Singh, “Multi-objective optimization of EDM parameters using hybrid Taguchi-grey relational approach,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 234, no. 9, pp. 1345–1356, 2020.

M. Singh, V. Singh, and R. Kumar, “An experimental investigation on the material removal rate and surface roughness of EDM,” Metals, vol. 11, no. 9, p. 1449, 2021.

V. K. Patel and P. M. Pandey, “Optimization of electrical discharge machining process parameters for performance measures using desirability function approach,” Materials Today: Proceedings, vol. 44, pp. 1202–1208, 2021.

A. Kumar, S. Maheshwari, and C. Sharma, “Experimental analysis and optimization of EDM parameters using Taguchi-based ANOVA approach,” Materials Today: Proceedings, vol. 45, pp. 678–684, 2021.

M. S. Uddin, M. Rahman, and M. S. Islam, “Multi-objective optimization of EDM parameters for improving machining performance using grey relational analysis,” SN Applied Sciences, vol. 3, no. 6, p. 620, 2021.

Downloads

Published

30.04.2022

How to Cite

Shivaji G. Badekar. (2022). Multi-Objective Optimization of Pulse Parameters in EDM for Improved Machining Performance. International Journal of Intelligent Systems and Applications in Engineering, 10(1s), 485 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/8152

Issue

Vol. 10 No. 1s (2022)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.