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  Published Paper Details:

  Paper Title

Influence of Process Parameters on Surface Quality and MRR in Die Sinking EDM of Oil Hardened Non-Shrinking Die Steel (OHNS) Using ANN

  Authors

  Bhavesh A. Patel,  Shevil K. Mehta,  Akash H. Koshti,  Bhargavsinh H. Vaghela,  Haresh A. Patel

  Keywords

Material Removal Rate (MRR), Surface Roughness (SR), Artificial Neural Network (ANN), Back-Propagation (BP)

  Abstract


Electrical Discharge Machining (EDM) is a non conventional machining process, where electrically conductive materials are machined by using an accurately controlled spark that takes place between an electrode and a work piece in the existence of a dielectric fluid. It has always been a demand to model and optimize the EDM process in the current situation. Experimentation on Oil Hardened Non-Shrinking (OHNS) Die Steel has been carried out on EDM using copper as an electrode material. The experimental results have been used to train ANN using Back-Propagation Algorithm which provides the optimum value of the performance parameters like Material Removal Rate (MRR) and Surface Roughness (SR) based on the influence of electrode material and processing parameters such as Discharge Current, Voltage, Pulse On Time, Pulse Off Time and Flushing Speed.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2309012

  Paper ID - 243587

  Page Number(s) - a102-a114

  Pubished in - Volume 11 | Issue 9 | September 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Bhavesh A. Patel,  Shevil K. Mehta,  Akash H. Koshti,  Bhargavsinh H. Vaghela,  Haresh A. Patel,   "Influence of Process Parameters on Surface Quality and MRR in Die Sinking EDM of Oil Hardened Non-Shrinking Die Steel (OHNS) Using ANN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 9, pp.a102-a114, September 2023, Available at :http://www.ijcrt.org/papers/IJCRT2309012.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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