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Proceedings Paper

Research on fiber Bragg grating based on micro-fiber
Author(s): Nuan Jiang; Zhengtong Wei; Pan Xu; Huayong Yang; Yongming Hu
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Paper Abstract

Fiber Bragg grating sensors have been attracted more attention due to its excellent advantages, such as small size, light weight, low cost, immunity to electromagnetic interference, multiplexing and so on, which offer a widely application in optical sensing and communication field. Following the appearance of micro/nano-fiber (MNF), it is imperative to develop the manufactured technology of MNF devices, MNF Bragg gratings are the important passive device among these. In this paper, we simulate the effective refractive index in fiber core using two-layer model. Meanwhile, we present a new method to fabricate a 6μm diameter fiber Bragg grating through successive improvement of manufactured technology. The small cladding diameter fiber was obtained by immersing an optical photosensitive fiber in different concentrations of hydrofluoric acid solutions. Then a MNF is fabricated from the small cladding diameter fiber by drawing. Finally a 6μm-diameter fiber Bragg grating was written using phase mask technology with a higher reflection. The testing results of this grating showed a good agreement with the simulation.

Paper Details

Date Published: 30 November 2012
PDF: 6 pages
Proc. SPIE 8561, Advanced Sensor Systems and Applications V, 85611V (30 November 2012); doi: 10.1117/12.2001243
Show Author Affiliations
Nuan Jiang, National Univ. of Defense Technology (China)
Zhengtong Wei, National Univ. of Defense Technology (China)
Pan Xu, National Univ. of Defense Technology (China)
Huayong Yang, National Univ. of Defense Technology (China)
National & Provincial United Lab. of Fiber Information Engineering Tech. for Complicated Environment (China)
Yongming Hu, National Univ. of Defense Technology (China)
National & Provincial United Lab. of Fiber Information Engineering Tech. for Complicated Environment (China)


Published in SPIE Proceedings Vol. 8561:
Advanced Sensor Systems and Applications V
Brian Culshaw; Yanbiao Liao; Anbo Wang; Xiaoyi Bao; Xudong Fan, Editor(s)

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