ADVANCEMENTS IN ELECTRICAL DISCHARGE MACHINING: A COMPREHENSIVE STUDY OF EVOLUTION, TECHNIQUES, AND APPLICATIONS IN PRECISION ENGINEERING
This paper focuses on the evolution of Electrical Discharge Machining (EDM) machines in the context of metalworking and precision manufacturing. The aim of this research is to examine the technological evolution of EDM machines over the decades, highlighting significant innovations in the field. Additionally, we aim to emphasize their importance in the industry and explore current applications in sectors such as aerospace, medical, and automotive. EDM machines are a crucial component in the production of precision parts, contributing to cost reduction and increased efficiency. This paper underscores the technological advancements that have made this possible and demonstrates how they have influenced modern industrial production. This review is based on the analysis of relevant literature and previous research in the field of EDM machines. Scientific publications, books, and pertinent articles were examined to gather the necessary data for this study. The review highlights the technical evolution of EDM machines, from early models to state-of-the-art technologies such as Wire EDM and Sink EDM. It also underscores their significance in precision manufacturing and across a wide spectrum of industries. In conclusion, EDM machines remain an essential component of precision manufacturing and current technological developments.
2. Sagar, K. G., Anjani, P. K., Raman, M. S., Devi, N. S. M. P., Mehta, K., Gonzales, J. L. A., & Kumar, N. M. Improving sustainability of EDM sector by implementing unconventional competitive manufacturing approach. Advances in Materials Science and Engineering, (2022).
3. Jain, A., Kumar, C. S., & Shrivastava, Y. Fabrication and machining of fiber matrix composite through electric discharge machining: a short review. Materials Today: Proceedings, 51, 1233-1237, (2022).
4. Lalwani, V., Sharma, P., Pruncu, C. I., & Unune, D. R. Response surface methodology and artificial neural network-based models for predicting performance of wire electrical discharge machining of inconel 718 alloy. Journal of Manufacturing and Materials Processing, 4(2), 44, (2020).
5. Muthuramalingam, T. Measuring the influence of discharge energy on white layer thickness in electrical discharge machining process. Measurement, 131, 694-700, (2019).
6. Hsue, A. W. J., & Huang, Z. Y. Deionized Water Electrochemical Machining Hybridized with Alumina Powder Polishing for Microcavity of M-333 Mold Steel. Processes, 10(1), 152, (2022).
7. Ming, W., Jia, H., Zhang, H., Zhang, Z., Liu, K., Du, J., ... & Zhang, G. A comprehensive review of electric discharge machining of advanced ceramics. Ceramics International, 46(14), 21813-21838, (2020).
8. Abu Qudeiri, J. E., Saleh, A., Ziout, A., Mourad, A. H. I., Abidi, M. H., & Elkaseer, A. Advanced electric discharge machining of stainless steels: Assessment of the state of the art, gaps and future prospect. Materials, 12(6), 907, (2019).
9. Grigoriev, S. N., Kozochkin, M. P., Porvatov, A. N., Volosova, M. A., & Okunkova, A. A. Electrical discharge machining of ceramic nanocomposites: Sublimation phenomena and adaptive control. Heliyon, 5(10), (2019).
10. Fazlollahtabar, H., & Gholizadeh, H. Fuzzy possibility regression integrated with fuzzy adaptive neural network for predicting and optimizing electrical discharge machining parameters. Computers & Industrial Engineering, 140, 106225, (2020).
11. Rout, P. K., & Jena, P. C. A review of current researches on powder mixed electrical discharge machining (PMEDM) technology. Advances in Mechanical Processing and Design: Select Proceedings of ICAMPD 2019, 489-497, (2021).
12. Singh, N. K., Singh, Y., Sharma, A., Singla, A., & Negi, P. An environmental-friendly electrical discharge machining using different sustainable techniques: a review. Advances in Materials and Processing Technologies, 7(4), 537-566, (2021).
13. Abhilash, P. M., & Chakradhar, D. Surface integrity comparison of wire electric discharge machined Inconel 718 surfaces at different machining stabilities. Procedia CIRP, 87, 228-233, (2020).
14. Naik, S., Das, S. R., & Dhupal, D. Experimental investigation, predictive modeling, parametric optimization and cost analysis in electrical discharge machining of Al-SiC metal matrix composite. Silicon, 13, 1017-1040, (2021).
15. Kam, M., İpekçi, A., & Argun, K. Experimental investigation and optimization of machining parameters of deep cryogenically treated and tempered steels in electrical discharge machining process. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 236(5), 1927-1935, (2022).
16. Gurgenc, T., & Altay, O. Surface roughness prediction of wire electric discharge machining (WEDM)-machined AZ91D magnesium alloy using multilayer perceptron, ensemble neural network, and evolving product-unit neural network. Materials Testing, 64(3), 350-362, (2022).
17. Bisaria, H., & Shandilya, P. Wire electric discharge machining induced surface integrity for Ni55. 95Ti44. 05 shape memory alloy. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 235(2), 178-185, (2021).
18. Rahman, M. A., Ahmed, A., & Mia, M. Trends in electrical discharge machining of Ti-and Ni-based superalloys: Macro-micro-compound arc/spark/melt process. In Micro Electro-Fabrication (pp. 63-87). Elsevier, (2021).
19. Manoj, I. V., & Narendranath, S. Variation and artificial neural network prediction of profile areas during slant type taper profiling of triangle at different machining parameters on Hastelloy X by wire electric discharge machining. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 234(6), 673-683, (2020).
20. Bani Melhem, M. K., Simic, M., Lai, C. Y., Feng, Y., & Ding, S. Fuzzy control of the dual-stage feeding system consisting of a piezoelectric actuator and a linear motor for electrical discharge machining. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 234(5), 945-955, (2020).
Copyright (c) 2023 Alina Bianca Pop, Mihail Aurel Titu
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.