Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101983
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Title: Fiber Bragg grating regeneration modeling and ultra-wide temperature sensing application
Authors: Lu, L
Yang, Y
Zheng, M
Jin, W 
Issue Date: 2017
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2017, v. 10100, 101000P
Abstract: Three types of Fiber Bragg gratings (FBGs) were inscribed in H2-loaded and H2-free fiber with phase mask using 800nm femtosecond (fs) laser, ultraviolet (UV) excimer laser respectively. Their reflection spectra regenerating procedure were observed under different annealing temperature and the models of regeneration process as well as annealing temperature and time were established. Experiments and model fitting show that there were definite regeneration temperature threshold for fs FBGs written in H2-free fiber, H2-loaded fiber and UV FBGs in H2-loaded fiber. The temperature sensing characteristic of RFBGs were investigated and compared experimentally under ultra-wide temperature range.
Keywords: Femtosecond laser
Regenerated fiber Bragg grating
Temperature sensing
Threshold
Publisher: SPIE-International Society for Optical Engineering
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
ISBN: 978-151060641-8
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.2251092
Description: Optical Components and Materials XIV, San Francisco, 30 January -1 February 2017
Rights: Copyright 2017 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
The following publication Lin Lu, Yuanhong Yang, Mingming Zheng, Wei Jin, "Fiber Bragg grating regeneration modeling and ultra-wide temperature sensing application," Proc. SPIE 10100, Optical Components and Materials XIV, 101000P (16 February 2017) is available at https://doi.org/10.1117/12.2251092.
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