Modelling of MRR during Wire-EDM of Ballistic grade alloy using Artificial Neural Network Technique

19Citations
Citations of this article
24Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This research work presents an incorporated approach to modelling of WEDM of AA6063using Artificial Neural Network (ANN) technique. The experimental investigation has been carried out with four input variables namely pulse-on time (PON), pulse-off time (POFF), servo-voltage (VS) and peak-current (IP). Material removal rate are measured as response parameter. 3k full factorial design is used to design the experimental runs. It is apparent from this study that values anticipated by developed model are found closer to experimental results. Thus, it ensures appropriateness of model for prediction purpose and smart manufacturing. Machined surfaces are also examined by SEM to critically evaluate the process.The first section in your paper.

Cite

CITATION STYLE

APA

Singh, T., Kumar, P., & Misra, J. P. (2019). Modelling of MRR during Wire-EDM of Ballistic grade alloy using Artificial Neural Network Technique. In Journal of Physics: Conference Series (Vol. 1240). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1240/1/012114

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free