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Effect of Electrical and Non-electrical Parameters on the Performance Measures of Electro-Discharge Machining: A Review

Authors: Anbesh Jamwal; Dr. Umesh Kumar Vates; Ankur Aggarwal;

Effect of Electrical and Non-electrical Parameters on the Performance Measures of Electro-Discharge Machining: A Review

Abstract

The electrical and non electrical parameters of EDM influence the performance of EDM. EDM is one of the widely used non traditional machining process used for machine the hard materials which are difficult to machine by the conventional machining processes. In the past few decades EDM gains popularity because of its wide range of applications in the die making, aerospace industry and other manufacturing sectors. It is also an alternative method of batch production when the conventional machining processes fail to machine a material. The development in the new hybrid techniques and new tool materials makes some new research scopes in the EDM. Lot of research has been done in EDM optimization, monitoring and its application area but still there are many research gaps which need further study. The aim of this paper to identify the effect of electrical and non electrical parameters on the performance measures of EDM. Anbesh Jamwal | Dr. Umesh Kumar Vates | Ankur Aggarwal "Effect of Electrical and Non-electrical Parameters on the Performance Measures of Electro-Discharge Machining: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: https://www.ijtsrd.com/papers/ijtsrd4722.pdf

Keywords

Mechanical Engineering, EDM parameters, EDM characteristics, discharge machining, Electro

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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