Himanshu Payal and Sachin Maheshwari and Pushpendra S. Bharti
Process Modeling of Electric Discharge Machining of Inconel 825 Using Artificial Neural Network
562 - 566
2017
11
3
International Journal of Mechanical and Mechatronics Engineering
https://publications.waset.org/pdf/10006604
https://publications.waset.org/vol/123
World Academy of Science, Engineering and Technology
Electrical discharge machining (EDM), a nonconventional machining process, finds wide applications for shaping difficulttocut alloys. Process modeling of EDM is required to exploit the process to the fullest. Process modeling of EDM is a challenging task owing to involvement of so many electrical and nonelectrical parameters. This work is an attempt to model the EDM process using artificial neural network (ANN). Experiments were carried out on diesinking EDM taking Inconel 825 as work material. ANN modeling has been performed using experimental data. The prediction ability of trained network has been verified experimentally. Results indicate that ANN can predict the values of performance measures of EDM satisfactorily.
Open Science Index 123, 2017