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IJAT Vol.13 No.2 pp. 174-184
doi: 10.20965/ijat.2019.p0174
(2019)

Review:

Ultra Precision Surface Finishing Processes

Fang-Jung Shiou*,† and Assefa Asmare Tsegaw**

*National Taiwan University of Science and Technology
No.43, Keelung Road, Section 4, Taipei 10607, Taiwan

Corresponding author

**Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia

Received:
August 22, 2018
Accepted:
October 15, 2018
Published:
March 5, 2019
Keywords:
surface finishing, ball burnishing, ball polishing, vibration assisted polishing, abrasive multi-jet polishing
Abstract

Surfaces of different complex shapes are aspirated part of many scientific measuring devices, medical, astronomical, and other precision activity utilizations. Components at miniaturized level should meet required surface roughness for the intended applications. Surface finishing of freeform and miniaturized components are always difficult and need to look for a new way out. In this study, an attempt was made to improve surfaces roughness of selected, most frequently used, engineering materials using different innovative processes, which can be integrated with CNC machine centers. An advanced automated surface finishing tools such as ball burnishing embedded with load cell, vibration assisted polishing, and self-propelled abrasive multi-jet polishing tools are proposed. Ball burnishing is advantageous for pre-machining process of ball polishing. Using the polishing device embedded with load cell, the constant force polishing is achieved. To reduce the volumetric wear of a polishing ball, vibration assisted polishing device is also integrated. Moreover, self-propelled abrasive multi-jet polishing tool, which achieves 93.33% improvement of surface roughness for lapped optical glass of BK7 has been subjugated from Ra 0.300 μm to 0.020 μm. These tools can be miniaturized and applicable in small micro CNC machining centers.

Cite this article as:
F. Shiou and A. Tsegaw, “Ultra Precision Surface Finishing Processes,” Int. J. Automation Technol., Vol.13, No.2, pp. 174-184, 2019.
Data files:
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Last updated on Apr. 22, 2019