Abstract
Surface topography of the machined workpiece is one of the most important criterions for the analysis of the grinding process and also has a significant influence on the fatigue behaviour of workpiece. In the present work, the experiments are carried out for optimum surface roughness and rate of material removal with variables like feed rate, speed of table and depth of cut on stainless steel material AISI 304 with the Al2O3 abrasive grinding wheel. Taguchi optimization technique is applied to optimize the process parameters to get optimum results of surface finish during grinding. The most influencing process parameters are depth of cut and table speed to optimize the MRR and surface roughness. The results reveals that optimum values of process parameters are 0.5 mm feed rate, 16 m/min table speed and depth of cut 0.02 mm to achieve the optimum surface roughness.
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