TY - JOUR
T1 - Profile prediction for ultrasonic vibration polishing of alumina ceramics
AU - Meng, Fanwei
AU - Yu, Tianbiao
AU - Wiercigroch, Marian
AU - Wang, Zhao
AU - Cui, Zhijie
AU - Liang, Yingdong
AU - Wang, Zixuan
AU - Zhao, Ji
N1 - 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 ].
Publisher Copyright:
© 2023
PY - 2023/4/12
Y1 - 2023/4/12
N2 - 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.
AB - 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.
KW - Multiple overlapping trajectories
KW - Profile prediction model
KW - Taguchi experimental optimization
KW - Ultrasonic-assisted polishing
UR - http://www.scopus.com/inward/record.url?scp=85152148185&partnerID=8YFLogxK
U2 - 10.1016/j.ijmecsci.2023.108360
DO - 10.1016/j.ijmecsci.2023.108360
M3 - Article
AN - SCOPUS:85152148185
VL - 252
JO - International Journal of Mechanical Sciences
JF - International Journal of Mechanical Sciences
SN - 0020-7403
M1 - 108360
ER -