Minimization of the shape error in the interrupted grinding process by using Taguchi method

Abstract

Shape errors appear around the interrupted sur-face in the grinding process. In this paper, the effect of wheel grain size, grinding depth, table speed and cross feed on shape error in interrupted grinding were investigated. GS-C25 cast steel material was selected as the workpieces materials to conduct experiments. In order to evaluate the wheel and cutting parameters on the shape error an orthog-onal array, the signal-to-noise ratio, the analysis of vari-ance and multiple regression analyses were applied. The analysis of variance results indicated that the most signifi-cant process parameters are wheel grain size followed by grinding depth, table speed and cross feed. As a result, the predicted and measured values were fairly close each oth-er, which indicate that the developed model using the re-gression analysis can be effectively used to predict the shape error in grinding.