Prediction of Burnishing Surface Integrity using Radial Basis Function

In this work, prediction of burnishing surface quality such as roughness (Ra) and Vickers hardness (HV) were achieved by using supervised radial basis function (RBF). The process state variables used were burnishing speed, feed, and depth. RBF has achieved a minimum of 90.62 % of prediction and proved to be convenient in terms of least computational complexity and dealing with nonlinear data such as obtained in this work.