Comparison for Al 2 O 3 and SiC Wheel on CNC Surface Grinding Machine Using Response Surface Methodology of EN24 Steel

Surface grinding is the most common process used in the manufacturing sector to produce smooth finish on flat surfaces. Metal removal rate and Surface quality are the two important performance characteristics to be considered in the surface grinding process. The grinding process is affected by several factors such as wheel speed, depth of cut, table speed, abrasive wheel grade and material properties. The main purpose of this study is to study the effects of abrasive tools on EN24 steel surface by using three parameters (Table speed, Depth of cut & Grinding wheel speed). This study was conducted by using CNC surface grinding machine. Total series of experiments performed was 15 set for each grinding wheels (Silicon Carbide and Aluminium Oxide). In this work, empirical models were developed for surface roughness and metal removal rate by considering table speed, wheel speed and depth of cut as control factors using response surface methodology. In this Response surface methodology (RSM) was applied to determine the optimum machining parameters leading to minimum surface roughness and maximum metal removal rate in Surface grinding process. The models selected for optimization was validated with F-test. The adequacies of these models were tested with analysis of variance (ANOVA). An attempt has also been made to optimize cutting parameters using multi-objective characteristics for the developed prediction models using Response Surface Methodology (RSM). It is clear that the surface roughness is minimum for the SiC wheel as compared to the Al 2 O 3 Wheel and MRR is minimum for the SiC wheel as compared to the Al 2 O 3 Wheel.