Experimental study and machining parameter optimization on powder-mixed EDM of Nimonic 901 using feed-forward backpropagation neural networks

Author:

Penmetsa Ravi Varma,Ilanko Ashok Kumar,Rajesh Siriyala,Chekuri Rama Bhadri Raju

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference39 articles.

1. Khan MY, Rao PS (2019) Electrical discharge machining: vital to manufacturing industries, International Journal of Innovative Technology and Exploring. Engineering 8(11):1696–1701

2. Amorim FL, Weingaertner WL (2004) Die-sinking electrical discharge machining of a high-strength copper based alloy for injection molds. J Braz Soc Mech Sci Eng 26(2):137–144

3. Patel MR, Barrufet MA, Eubank PT, DiBitonto DD (1989) Theoretical models of the electrical discharge machining process. II. The anode erosion model. J Appl Phys 66(9):4104–4111

4. El-Hofy HA (2005) Advanced machining processes: nontraditional and hybrid machining processes. McGraw Hill Professional

5. Chekuri RBR, Kalluri R, Rajesh S, Palakollu JK (2017) A study on die sinking EDM of Nimonic C-263 super alloy: modelling and optimization. J Adv Res Dyn Control Sys 9(17):2120–2130

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