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Electric discharge machining: A comprehensive review for difficult to cut materials.

Authors :
Kumar, Vidyapati
Babbar, Atul
Sharma, Ankit
Singh, Rajesh
Pathri, Bhargav Prajwal
Prakash, Chander
Source :
AIP Conference Proceedings. 2024, Vol. 2986 Issue 1, p1-12. 12p.
Publication Year :
2024

Abstract

Cutting-edge machining techniques have recently been widely utilized to address a variety of problems in the manufacturing industry, such as machining higher strength materials, producing intricately curved profiles, improving surface properties, and reducing production time. Electro Discharge Machining (EDM) is quickly developing in this situation. EDM is a popular advanced machining process for cutting hard materials and alloys with superior surface quality and dimensional accuracy. This thorough review research offers an insight on the chosen input process variables, responses, workpieces machined, as well as optimization methods used in those operation while producing varied component shapes for industrial application based on recently published EDM process papers. It is discovered that the identified process parameter with the greatest importance is pulse-on time (Ton), that material removal rate (MRR) and surface roughness (SR) are the two prevalent output characteristics, that various steel grades are the most commonly workpieces, and that grey relational analysis (GRA) is the ubiquitously employed technique for optimization of EDM processes parameters. These findings will assist process engineers in optimizing the machining performance of EDM processes for various work material and shape feature combinations. Furthermore, the closing remarks highlight the stated underlining and technical gaps in research, enabling this present review valuable to the connected academia and scientific research communities with the correct assessment of EDM process parameters, advanced workpieces, tools, and sustainable dielectric for attaining favourable results as futuristic advanced machining technology. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2986
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
175549394
Full Text :
https://doi.org/10.1063/5.0195062