Parametric Analysis, Modeling and Optimization of Surface Roughness during EDAG Using CBN Abrasive

Abstract

Electrical discharge abrasive grinding (EDAG) of ferrous alloys such as high speed steel and high carbon steel, using diamond abrasive demonstrates poor machining performance. The chemical affinity of diamond towards the ferrous alloys is the main reason for the same. In the present research, the performance of cubic boron nitride (CBN) abrasive has been investigated. The parametric analysis, modeling and optimization of one of the important quality characteristics, surface roughness (SR), during EDAG of high speed steel using CBN abrasive, have been discussed. Artificial neural network (ANN) has been used for modeling of SR. Further, hybrid approach of artificial neural network (ANN) and genetic algorithm have been applied during single objective optimization of SR.