An influence of CNC grinding wheel dressing parameters on Ra value of EN19 steel

Abstract

In the dressing process of a grinding wheel, worn grains are removed or split using a diamond or other form of dressing blade, reinforcing and replenishing the cutting face of the wheel. The performance of a grinding process is strongly influenced by the way it is dressed. The depth of cut, cross-feed rate, mounting angle, and the number of passes of the dresser are the four significant dressing operating parameters. In this present work, the surface roughness formed on the work material during the consecutive grinding processes is used to determine the influence of these dressing operating parameters on the grinding wheel surface characteristics. The Taguchi experimental design approach was employed to perform the experiments and to build numerical equations for the response surface roughness or Ra value of EN19 work material whereas all the dressing operating parameters were considered as controlled parameters. The characterizations of surface quality are analyzed using L9-orthogonal array of Taguchi technique, the signal-noise ratio, and Analysis of Variance (ANOVA) using the Minitab statistical tool. The statistical modelling was employed by using multiple regression analysis technique. The linear and nonlinear equations were shown to be preferable for analytical prediction among all equations. The result reveals that the cross-feed rate of the dresser is the most influential variable, followed by the depth of cut of the dresser, which is further confirmed by conducting experiments.