Volume 10 Issue 2 ( June 2023 )

In this investigation on Viscoelastic magnetic abrasive finishing process, a deep learning model is applied to predict the change in surface roughness. A dedicated experimental setup along with the abrasive media was prepared to carry out the finishing process. Experiments were performed on mild steel to inspect the effect of several parameters such as finishing time, magnetic flux density, abrasive mesh number, magnetic tool rotational speed, feed, ultrasonic amplitude on the surface roughness. The paper aims to provide a cost-effective as well as time-effective predictive method to depict the change in surface roughness.

Keywords: Viscoelastic magnetic abrasive finishing, Surface Roughness, Artificial neural network modeling