Kinematic simulation of surface grinding process with random cBN grain model

Abstract

Abrasive grains on grinding wheel are random in many aspects, such as shapes, attitudes, and positions. The randomness of grains influences greatly in the performance of grinding processes, and it is the difficult part in grinding simulation as well. To overcome this problem, a new method for generating cBN grain model with random shape is proposed in this paper. This method bases on the geometry of cBN grains, and a geometric feature statistic assists in the cBN grain modeling. The randomness of cBN grains in attitudes and positions is considered in the following research. In order to implement the grinding processes prediction, two-dimensional convex hull is used to obtain the projection profiles of random grain shapes. Continuous cutting trajectory of the cutting points is analyzed to simulate the ground surface topography. The algorithm is verified by comparing the results of experiments and the simulations.