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Can I read Surface Profile Prediction Modeling of Spiral Toolpath for Axial Ultrasonic Vibration-assisted Polishing on EtoBox?

Surface Profile Prediction Modeling of Spiral Toolpath for Axial Ultrasonic Vibration-assisted Polishing by Tianqi Zhang; Wenxuan Ma; Weifeng Yao; Jinzhong Wu; Yan Zhang; Jinling Cong; Ling Shan; Jinlong Dong; Tianbiao Yu; Ji Zhao is a Materials Science article available to read on EtoBox.

What is Surface Profile Prediction Modeling of Spiral Toolpath for Axial Ultrasonic Vibration-assisted Polishing about?

Hard and brittle materials are widely used in many frontier fields because of their better properties, and their efficient precision polishing methods are attracting much attention. The research on surface quality of optical lenses with surface finishing requirement not only involves surface roughness, but also surface form accuracy. The generated surface profile is a key factor affecting the surface form accuracy and overall smoothness. From experience, both processing mechanism of adopted method and toolpath have effects on the generated surface profile. For this, the paper presents a theoretical and experimental study of the generated surface profile of spiral toolpath in axial ultrasonic vibration-assisted polishing (UVAP). Based on classical Preston equation, Hertzian contact theory and the axial vibration-assisted processing principle, a prediction calculation model for generated surface profile of spiral toolpath is proposed. The model can specifically analyze the dwell-time distribution characteristics of periodically varying contact pressure and sliding velocity in the areas near/far-from the curvature center of curve toolpath, accurately predict the surface profile shape

Who reads Surface Profile Prediction Modeling of Spiral Toolpath for Axial Ultrasonic Vibration-assisted Polishing?

It is typically read by researchers, students, and practitioners in Materials Science.

Author
Tianqi Zhang; Wenxuan Ma; Weifeng Yao; Jinzhong Wu; Yan Zhang; Jinling Cong; Ling Shan; Jinlong Dong; Tianbiao Yu; Ji Zhao
Publisher
Elsevier BV
Published
2023
Language
EN
Field
Materials Science (Physical Sciences)

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