Prediction of wear and surface roughness in electro-discharge diamond grinding

The present work focuses on prediction of wheel wear and surface roughness using two techniques, namely design of experiments and neural network. Effect of process parameters, such as pulse current, duty ratio, wheel speed and grain size on output responses, namely, wheel wear and surface roughness of high speed steel (HSS) were investigated experimentally.