Profile prediction for ultrasonic vibration polishing of alumina ceramics

Ultrasonic-assisted polishing methods are widely used for the precision processing of hard and brittle materials such as glass and ceramics due to their excellent polishing performance. Most research has been focused on basic removal mechanisms of ultrasonic-assisted polished materials. Some investigators have studied the profile of surfaces after conventional mechanical polishing, but less research has been done on the profile of faces after axial ultrasonically assisted polishing. This paper has established a novel force prediction model for the ultrasonically assisted polishing, which is critical for geometrical accuracy and surface finish. Also a material removal model has been developed for this process using a spherical polishing head at different tilt angles. Pressure and velocity distributions have been calculated for multi-position contact areas. The experimental study of multiple trajectory polishing of alumina ceramics showed a good correlation between the experimental and simulated surface profiles. The ultrasonic polishing process parameters were optimized by applying the gray correlation analysis. The obtained results can be used not only select ultrasonic assisted polishing process parameters but also provide theoretical underpinning for surface polishing trajectory planning.

Automated summary

This paper establishes a novel force prediction model for ultrasonically assisted polishing, which is critical for evaluating geometric accuracy and surface finish. A material removal model is also developed for this process using a spherical polishing head at different tilt angles. Experimental studies show a good correlation between the surface profiles of alumina ceramics after multiple trajectory polishing and the experimental and simulated results. The parameters of the ultrasonic polishing process are optimized using gray correlation analysis, providing theoretical support for selecting process parameters and planning surface polishing trajectories.