Assessment of Surface Integrity in Diamond Grinding – Based Hybrid Machining of Tungsten Free Carbide based Hard Metal

Hybrid machining process comprises of applying at least two process components all the while or successively in synergistic way to improve the machining performance. One such machining process is diamond grinding in presence of high frequency electric sparks. This process is all about making trade-off between surface finish and process efficiency. This paper attempts to model the surface roughness using artificial neural network with supervised learning in which back propagation algorithm is used for minimizing error and estimation of adaptive weights. Experimental data for machining of TN20 Russian grade cermet is used for development of neural network. (paper)