Profile prediction for ultrasonic vibration polishing of alumina ceramics

Fanwei Meng, Tianbiao Yu* (Corresponding Author), Marian Wiercigroch* (Corresponding Author), Zhao Wang, Zhijie Cui, Yingdong Liang, Zixuan Wang, Ji Zhao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number108360
Number of pages14
JournalInternational Journal of Mechanical Sciences
Volume252
Early online date12 Apr 2023
DOIs
Publication statusPublished - 15 Aug 2023

Bibliographical note

Funding Information:
This research is supported by the National Key Research and Development Program of China [Grant No. 2017YFA0701200 ], the National Natural Science Foundation of China [Grant No. 52075088 ], China Postdoctoral Science Foundation [Grant No. 2021M700717 ].

Data Availability Statement

Data will be made available on request.

Keywords

  • Multiple overlapping trajectories
  • Profile prediction model
  • Taguchi experimental optimization
  • Ultrasonic-assisted polishing

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