Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104161
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Title: Novel hybrid robot and its processes for precision polishing of freeform surfaces
Authors: Xu, P 
Cheung, CF 
Wang, C 
Zhao, C 
Issue Date: Jul-2020
Source: Precision engineering, July 2020, v. 64, p. 53-62
Abstract: Freeform surfaces have important applications in various industrial fields. However, achieving a high level surface finish on freeform surfaces using polishing is always a challenging task. Hybrid robots are promising alternatives to conventional computer numerical control (CNC) machines and industrial robots for ultra-precision machining. Herein, we present a novel custom-built hybrid robot for freeform polishing. After the laboratory prototype was successfully developed, its automation for a specific freeform surface was a major obstacle preventing its application. This critical issue was addressed by presenting a process to deal with tedious robot programming. Random tool path planning was performed in the task space, and hybrid robot motion planning was conducted in the joint space. By integrating the process flows, a robot programming toolkit was developed to directly output the control program for a specific robot controller. An illustrative example with a freeform surface is provided to verify the functionality of the developed hybrid robot and the proposed control processes, and the corresponding experimental results verify their effectiveness.
Keywords: Freeform surface
Hybrid robot
Precision polishing
Random path
Ultra-precision machining
Publisher: Elsevier Inc.
Journal: Precision engineering 
ISSN: 0141-6359
EISSN: 1873-2372
DOI: 10.1016/j.precisioneng.2020.03.013
Rights: © 2020 Elsevier Inc. All rights reserved.
© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The following publication Xu, P., Cheung, C. F., Wang, C., & Zhao, C. (2020). Novel hybrid robot and its processes for precision polishing of freeform surfaces. Precision Engineering, 64, 53–62 is available at https://doi.org/10.1016/j.precisioneng.2020.03.013.
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