Kinematic simulation of surface grinding process with random cBN grain model
- 51 Downloads
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.
KeywordscBN Grinding Randomness Simulation Surface topography
Unable to display preview. Download preview PDF.
The authors would like to thank the Major State Basic Research Development Program of China (2017YFA0701200), the National Natural Scientific Foundation of China (nos. U1508206 and 51275084), the Key laboratory project of Liaoning Province (LZ2015038), and the Science and Technology Planning Project of Shenyang (no.18006001) for the financial support of this work.
- 10.Cooper WL, Lavine AS (2001) Grinding process size effect and kinematics and numerical analysis. J Manuf Sci Eng.-Trans ASME 122:59–69. https://doi.org/10.1115/1.538888
- 11.Hegeman J (2000) Fundamentals of grinding: surface conditions of ground materials groningen: s.n.371–380Google Scholar
- 20.Malkin S (1989) Grinding technology: theory and applications of machining with abrasives. Ellis Horwood, ChichesterGoogle Scholar
- 21.Liu Y, Warkentin A, Bauer R, Gong Y (2013) Investigation of different grain shapes and dressing to predict surface roughness in grinding using kinematic simulations. Precis Eng 37:758–764. https://doi.org/10.1016/j.precisioneng.2013.02.009 CrossRefGoogle Scholar