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Optimizing Material Removal Rate Using Artificial Neural Network for Micro-EDM

Optimizing Material Removal Rate Using Artificial Neural Network for Micro-EDM

Ananya Upadhyay, Ved Prakash, Vinay Sharma
Copyright: © 2018 |Pages: 25
ISBN13: 9781522534013|ISBN10: 1522534016|EISBN13: 9781522534020
DOI: 10.4018/978-1-5225-3401-3.ch011
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MLA

Upadhyay, Ananya, et al. "Optimizing Material Removal Rate Using Artificial Neural Network for Micro-EDM." Design and Optimization of Mechanical Engineering Products, edited by K. Kumar and J. Paulo Davim, IGI Global, 2018, pp. 209-233. https://doi.org/10.4018/978-1-5225-3401-3.ch011

APA

Upadhyay, A., Prakash, V., & Sharma, V. (2018). Optimizing Material Removal Rate Using Artificial Neural Network for Micro-EDM. In K. Kumar & J. Davim (Eds.), Design and Optimization of Mechanical Engineering Products (pp. 209-233). IGI Global. https://doi.org/10.4018/978-1-5225-3401-3.ch011

Chicago

Upadhyay, Ananya, Ved Prakash, and Vinay Sharma. "Optimizing Material Removal Rate Using Artificial Neural Network for Micro-EDM." In Design and Optimization of Mechanical Engineering Products, edited by K. Kumar and J. Paulo Davim, 209-233. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3401-3.ch011

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Abstract

Machining can be classified into conventional and unconventional processes. Unconventional Machining Process attracts researchers as it has many processes whose physics is still not that clear and they are highly in market-demand. To predict and understand the physics behind these processes soft computing is being used. Soft computing is an approach of computing which is based on the way a human brain learns and get trained to deal with different situations. Scope of this chapter is limited to one of the soft computing optimizing techniques that is artificial neural network (ANN) and to one of the unconventional machining processes, electrical discharge machining process. This chapter discusses about micromachining on Electric Discharge Machining, its working principle and problems associated with it. Solution to those problems is suggested with the addition of powder in dielectric fluid. The optimization of Material Removal Rate (MRR) is done with the help of ANN toolbox in MATLAB.

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