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Proceedings Paper

Gas cell based on cascaded GRIN lens for optical fiber gas sensor
Author(s): Jiming Sa; Youping Chen; Gang Zhang; Zude Zhou; Lujun Cui
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Paper Abstract

Based on the theory of gas molecular absorption spectrum, a transmission type gas cell based on cascaded GRIN lens has been designed. The gas cell is the kernel of the optical fiber gas sensor system. The system performance is relative to rationality of gas cell structure. By using GRIN lens couple in gas cell, we can solve the problems of optical discrete components. We use GRIN lens with pigtail fiber as collimating or focusing lens for transmission type of gas cell. To shorten sensor's size and length, and enhance sensor's sensitivity, we present a method by using cascaded GRIN Lens couples to compose a gas cell. With this method, the optical path length is increased and the detection sensitivity of the gas cell is greatly increased. This transmission type of gas cell based on cascaded GRIN lens couples have been applied to our system of absorption spectrum optical fiber gas sensors. We designed and manufactured a gas cell with cascaded GRIN lens couples. Experimental results show that transmission gas cell based on cascaded GRIN lens couples has a good detecting effect.

Paper Details

Date Published: 27 November 2007
PDF: 5 pages
Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 67234I (27 November 2007); doi: 10.1117/12.783642
Show Author Affiliations
Jiming Sa, Huazhong Univ. of Science and Technology (China)
Youping Chen, Huazhong Univ. of Science and Technology (China)
Gang Zhang, Huazhong Univ. of Science and Technology (China)
Zude Zhou, Huazhong Univ. of Science and Technology (China)
Lujun Cui, Huazhong Univ. of Science and Technology (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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