A grinding force prediction model and experimental validation for ultrasonic-assisted end grinding of 2.5D C/SiC composites
Zhenyan Duan, Tao Chen, Yuhao Suo, Chuandian Zhang, F F Liu
Abstract
In this work, a grinding force predictive model is proposed for processing 2.5D carbon fibre-reinforced silicon carbide matrix composites (C/SiCs) using ultrasonic-assisted end grinding (UAEG). The coupling effects of process parameters on prediction results are explored, and the influence of processing parameters on forces is analyzed from the theoretical perspective. In the modelling process, the anisotropy of the 2.5D C/SiCs, the motion path of the end-face grits, and the grit-workpiece interaction stages were fully considered. According to the material’s removal properties, the interaction of the grit-workpiece was classified into different stages. The proposed model can be derived by considering the forces at different contact stages. To evaluate the model’s reliability, single-factor experiments were conducted to assess its prediction accuracy. The results of validation with experiments demonstrated that the maximum error of the model was less than 12 %, and the average error was only 6.23 %.