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

Abstract

Shape errors appear around the interrupted surface 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 orthogonal array, the signal-to-noise ratio, the analysis of variance and multiple regression analyses were applied. The analysis of variance results indicated that the most significant 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 other, which indicate that the developed model using the regression analysis can be effectively used to predict the shape error in grinding.