Review on MRR in Spark Erosion Machining (SEM) Through ANN

Authors

  • Rahul Shrinivasan  IIT Kharagpur, West Bengal, India
  • Tushar Bhakte  IIT Kharagpur, West Bengal, India

DOI:

https://doi.org/10.32628/IJSRST229138

Keywords:

Electricity fluctuation, operation, profitability, SMEs, Ghana

Abstract

EDM is a modern machining technology used to machine hard material pieces that are difficult to produce using traditional machining methods. This article aims to optimize process factors to obtain maximum MRR and high surface integrity in the end cut. Using artificial neural networks, this research proposes a technique for automatically determining and optimizing processing parameters in the EDM sinking process (ANN). The availability of machining data in the industrial tool room survey is the primary issue regarding adjusted process parameters for precision machining. Experiments are conducted to investigate the effect of pulse current, pulse on time, electrode area, and gap voltage on MRR response.

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International Journal of Scientific Research in Science and Technology

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Published

2022-02-28

Issue

Volume 9, Issue 1, January-February-2022

Section

Research Articles

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How to Cite

[1]
Rahul Shrinivasan, Tushar Bhakte "Review on MRR in Spark Erosion Machining (SEM) Through ANN" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 1, pp.218-237, January-February-2022. Available at doi : https://doi.org/10.32628/IJSRST229138