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Proceedings Paper

Modeling and analysis of the mathematic model of differential astigmatic optical system used for the FPC (flexible printed circuit) online detection system
Author(s): Zhiwei Yuan; Jianhuan Zhang; Fei Long; Lijun Zhang
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Paper Abstract

The surfaces of flexible printed circuit products are discontinuous, it is imperative to provide a non-contact measurement system to measure not only non-continuous surface, but also surface topography and small dimension. Optical detection system based on differential astigmatic can solve the problem. In the existing literature, the mathematic model of differential astigmatic optical system is established by Geometrical optics, it brings imprecision factors. So it is necessary to establish a precise mathematical model of differential astigmatic. This paper analyzes the shortcomings and inadequate of the mathematic model of differential astigmatic optical system which is based on geometrical optics of traditional optical systems, and then analyzes the model based on laser Gaussian beam model, which is more accurately closer to actual situation. Subsequently, according to the mathematic model, this paper optimizes the optical path parameters and also analyzes the impacts of position errors of optical components upon the measurement, which lays the foundation of the improvement of the online FPC quality control system.

Paper Details

Date Published: 17 January 2008
PDF: 7 pages
Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 67234B (17 January 2008); doi: 10.1117/12.783630
Show Author Affiliations
Zhiwei Yuan, Xiamen Univ. (China)
Jianhuan Zhang, Xiamen Univ. (China)
Fei Long, Xiamen Univ. (China)
Lijun Zhang, Xiamen Univ. (China)


Published in SPIE Proceedings Vol. 6723:
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Junhua Pan; James C. Wyant; Hexin Wang, Editor(s)

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