A new grinding force model for micro grinding RB-SiC ceramics with grinding wheel topography as an input

Zhipeng Li, Feihu Zhang, Xichun Luo, XiaoGuang Guo, Yukui Cai, Wenlong Chang, Jining Sun

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)
15 Downloads (Pure)


The ability to predict grinding force for hard and brittle materials is important to optimize and control the grinding process. However, it is a difficult task to establish a comprehensive grinding force model that takes into account of brittle fracture, grinding conditions and random distribution of grinding wheel topography. Therefore, this study developed a new grinding force model for micro-grinding of RB-SiC ceramics. First, the grinding force components and grinding trajectory were analyzed based on the critical depth of rubbing, ploughing and brittle fracture. Afterwards, the corresponding individual grain force were established and the total grinding force was derived through incorporating the single grain force with dynamic cutting grains. Finally, a series of calibration and validation experiments were conducted to obtain the empirical coefficient and verify the accuracy of the model. It was found that ploughing and fracture were the dominate removal modes, which illustrate the force components decomposed is correct. Furthermore, the values predicted according to proposed model are consistent with the experimental data, with the average deviation of 6.793% and 8.926% for the normal and tangential force, respectively. This suggests that the proposed model is acceptable and can be used to simulate the grinding force for RB-SiC ceramics in practical.
Original languageEnglish
Article number368
Number of pages19
Issue number8
Publication statusPublished - 26 Jul 2018


  • grinding force model
  • rubbing
  • plastic
  • brittle fracture
  • protrusion height


Dive into the research topics of 'A new grinding force model for micro grinding RB-SiC ceramics with grinding wheel topography as an input'. Together they form a unique fingerprint.

Cite this