Modeling and critical analysis of material removal rate in WEDM of Oil Hardening Non Shrinking Die Steel (OHNS)

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Published: Sep 3, 2020
Keywords:
Wire EDM Buckingham’s Pi theorem Dimensional analysis Response surface method Artificial neural network Oil hardening non-shrinking die steel Support vector regression

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Mangesh Phate
Department of Mechanical Engineering, AISSMS College of Engineering, Shivajinagar, Pune, Maharashtra, India
Shraddha Toney
Department of Computer Engineering, STES Sinhgad Institute of Technology& Science, Narhe, Pune, Maharashtra, India
Vikas Phate
Department of Electronics, Government Polytechnic Murtijapur, Akola, Maharashtra, India

Abstract

Wire EDM is a complicated machining process that is used for producing complex 2D and 3D shapes. In this work, the process parameters associated with the wire electrical discharge machining (WEDM) of oil hardening non-shrinkage (OHNS) die steel material were investigated through response surface method (RSM) and an artificial neural network (ANN). A quadratic model developed through RSM was used to predict material removal rate (MRR) with appreciable precision. The various input variables, viz. pulse on time (PON), pulse off time (POFF), wire feed rate (WFR) and input current (I), have been considered. A comparison between the predicted and measured values of MRR was performed for each experiment. It was noted that the RSM predicted values are in a 95%confidence interval. Statistical analysis shows the capabilities of the developed models to predict the MRR more accurately. Also, ANN model estimates MRR with high precision compared using the RSM model. Support vector regression (SVR) is also used to analyze the impact of various process parameters. The results show that all approaches are strongly capable of predicting the response. Analysis the WEDM is a very effective. Of the three approaches ANN is superior.

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How to Cite
Phate, M. ., Toney, S. ., & Phate, V. . (2020). Modeling and critical analysis of material removal rate in WEDM of Oil Hardening Non Shrinking Die Steel (OHNS). Engineering and Applied Science Research, 47(3), 264–274. Retrieved from https://ph01.tci-thaijo.org/index.php/easr/article/view/228031
Issue
Vol. 47 No. 3 (2020)
Section
ORIGINAL RESEARCH

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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