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Research on image detection and recovering of diamond grinding wheel topography in precision machining
Author(s): Hui Yu; Zhenzhong Wang; Ruocheng Wei; Liuwei Kong
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Paper Abstract

With the aim to conveniently evaluate the abrasive worn states in precision grinding, this paper presents an image detection and evaluation function for grinding wheel’s micro-surface recovering. Any curved object have different focus level in the same image. With a fixed focus detector drived by motor, the information of abrasive height can be extracted from image sequence by focus evaluation. We propose and compared two method and find Gray-Level-Variance (GLV) have a better robustness on wheel’s surface recovering. The arithmetic works better and smoother when LULU operator is cooperated. Finally, we make a comparision between the result of GLV and ultra-depth 3D microscope in comparative section. The information of single abrasive and diamond pellets are concerned to prove the arithmetic’s validity and stability.

Paper Details

Date Published: 16 January 2019
PDF: 9 pages
Proc. SPIE 10838, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 108381K (16 January 2019); doi: 10.1117/12.2506399
Show Author Affiliations
Hui Yu, Xiamen Univ. (China)
Zhenzhong Wang, Xiamen Univ. (China)
Ruocheng Wei, Xiamen Univ. (China)
Liuwei Kong, Xiamen Univ. (China)


Published in SPIE Proceedings Vol. 10838:
9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies
Xiong Li; William T. Plummer; Bin Fan; Mingbo Pu; Yongjian Wan; Xiangang Luo, Editor(s)

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