RSM based parametric optimization during electro-chemical grinding process of hybrid Al/(Al2O3+ZrO2)-MMC

Abstract

In this paper the RSM based optimization technique is used in the electrochemical grinding (ECG) of hybrid Al/(Al2O3+ZrO2)-MMC. Experiments are performed on the fabricated ECG setup with a resin bonded copper impregnated diamond grinding wheel. A comprehensive empirical model has been developed for correlating the interaction and influences of the input parameters on surface roughness (R_a and R_t) to achieve optimal surface finish [1, 2]. The main influencing parameters such as rotational speed is the most significant and current density is the significant for Ra and Rt. The developed empirical models are validated through confirmation test. The test results depict significant improvement of – 684 % on Ra (μm) and – 417 % on Rt (μm) respectively [3, 4].