Low-cost temperature- And strain-insensitive twist sensor based on a hybrid fiber grating structure


We proposed and experimentally demonstrated a temperature- and strain-insensitive twist sensor based on a hybrid fiber grating structure, in which the hybrid grating structure is constructed with a 45°-tilted fiber grating and a chirped fiber Bragg grating UV-inscribed in a single-mode fiber in series. The sensing performance has been evaluated by experimental and numerical analyses, which are in good consistency. The experimental results show that the hybrid-grating-structure-based twist sensor has a maximum twist sensitivity up to 15.037 dB/rad. Moreover, due to the invariability of the fiber birefringence and the state of polarization of the input light, such sensor has intrinsically low temperature and strain sensitivities of 7.86 × 10−3 dB∕°C and 6.7 × 10−5 dB∕με, corresponding to the maximum twist measurement error resulting from temperature and strain of 5.2 × 10−4 rad∕°C and 4.5 × 10−6 rad∕με, respectively.

Publication DOI: https://doi.org/10.1364/AO.58.004479
Divisions: Engineering & Applied Sciences > Electrical, Electronic & Power Engineering
Engineering & Applied Sciences > Aston Institute of Photonics Technology
Engineering & Applied Sciences
Additional Information: This paper was published in Applied Optics and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: https://doi.org/10.1364/AO.58.004479. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.
Uncontrolled Keywords: Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.osa ... i=ao-58-16-4479 (Publisher URL)
PURE Output Type: Article
Published Date: 2019-05-31
Published Online Date: 2019-05-07
Accepted Date: 2019-05-06
Authors: Guo, Xi
Xing, Zhikun
Qin, Huabao
Sun, Qizhen
Wang, Hushan
Liu, Deming
Zhang, Lin ( 0000-0002-1691-5577)
Yan, Zhijun



Version: Accepted Version

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