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Proceedings Paper

Research on optical surface quality online monitoring based on support vector machine
Author(s): Guo Bi; Zhiji Sun; Dongxu Zhang
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Paper Abstract

The interference of grinding wheel and optic surface during grinding process causes numerous acoustic emission (AE) phenomena. AE signals are competent for monitoring the quality of the ground surface. A quality prediction model of grinding optics is established based on support vector machine (SVM). Some time domain characteristics of AE signals are chosen as the input vectors. And surface roughness (Ra) and surface shape accuracy (P-V) are the output vectors, respectively. The experiment results show that the model can accurately predict the surface quality of the optics during grinding.

Paper Details

Date Published: 6 August 2014
PDF: 9 pages
Proc. SPIE 9281, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 928118 (6 August 2014); doi: 10.1117/12.2069661
Show Author Affiliations
Guo Bi, Xiamen Univ. (China)
Zhiji Sun, Xiamen Univ. (China)
Dongxu Zhang, Xiamen Univ. (China)


Published in SPIE Proceedings Vol. 9281:
7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies
Li Yang; Eric Ruch; Shengyi Li, Editor(s)

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