| Issue |
Manufacturing Rev.
Volume 6, 2019
|
|
|---|---|---|
| Article Number | 2 | |
| Number of page(s) | 22 | |
| DOI | https://doi.org/10.1051/mfreview/2018015 | |
| Published online | 15 February 2019 | |
Review
A review on optimization of machining performances and recent developments in electro discharge machining
1
Mechanical Engineering Department, Motilal Nehru National Institute of Technology, Prayagraj, U.P., India
2
School of Mechanical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, Odisha, India
* e-mail: ankurgupta.k10@gmail.com
Received:
23
June
2018
Accepted:
17
December
2018
Electro discharge machining (EDM) is a popular unconventional machining process widely employed in die-making industries. Careful selection of process parameters such as pulse current, voltage, on and off time, etc. is essential for machining of hard and conductive materials using EDM. Previous researchers working in the area of EDM have extensively analyzed the machining performance through experimental study, modeling, and simulation and also by theoretical analysis. This article discusses the significant summary of the work performed by earlier researchers through a detailed literature survey. Relevant literature on EDM and impact of process parameters on performance measures such as surface quality, tool wear rate and material removal rate are reviewed. The challenge and limitation of EDM process are also highlighted in this article. It is observed that optimization of process parameters is essentially required for effective and economical machining. So, this article addresses the various issues related to EDM and also provides brief insight into some of the current generation applications of EDM process explored in various industries.
Key words: Electrical discharge machining / material removal rate / surface quality / tool wear rate
© B. Nahak and A. Gupta, Published by EDP Sciences 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.