Experimental investigation on surface roughness of machined alumina and simultaneous wear of silicon carbide grinding wheel by using acoustic emission technique

Abstract

Engineering ceramic materials are one among the key components of technology due to their outstanding physico-mechanical properties like hardness, toughness, wear resistance and chemical stability at elevated temperatures. On the other hand, the stated unique properties of ceramics offer complexity during machining. Under such circumstances, the condition of cutting tool needs to be continually monitored. The present study involves Acoustic emission (AE) testing technique for condition monitoring of machine tools. Various grades of Aluminium oxide (Al2O3) ceramics had been machined using Silicon carbide (SiC) grinding wheel. Further, the machining of alumina ceramic using various grinding wheels has also been performed. Grinding process has been carried out for alumina ceramics by varying parameters like depth of cut and feed rate. Introducing AE technique, various parameters such as energy, amplitude of grinding wheel wear and surface roughness of Al2O3 In this research work, the Surface roughness (R ceramics were analyzed. newlinea) and Wheel wear (Ww) were determined analytically after the grinding of engineering ceramic material, i.e., various compositions of Al2O3 ceramics were machined using various grinding wheels (SiC and Al2O3 The main objective of this work is to develop a model for optimizing the R ). The analytical model was developed using multiple regression analysis method constituting the process parameters like depth of cut, feed and grain size. a and Ww values of engineering Al2O3 ceramic materials and various grinding wheels. However, experimental results were used to establish the multiple regression analysis equations for Ra and Ww newline newline