Orientation-dependent optic-fiber accelerometer based on excessively tilted fiber grating


An orientation-dependent optic-fiber accelerometer based on the excessively tilted fiber grating (ExTFG) inscribed in SM28 fiber is demonstrated, which is based on the optical power demodulation scheme. Without any complicated processing, the cladding mode resonances of the bare ExTFG show high sensitivity to slight perturbation of bending. Due to its excellent azimuth-related bending properties, such a bare ExTFG fixed on a simple cantilever beam has exhibited strong orientation-dependent vibration properties. The experimental results show that a TE mode of the sensor can provide a maximum acceleration sensitivity of 74.14 mV/g at 72 Hz and maximum orientation sensitivity of 9.1 mV/deg while, for a TM mode, a maximum acceleration sensitivity of 57.85 mV/g at 72 Hz and maximum orientation sensitivity of 7.4 mV/deg could be achieved. These unique properties enable the sensor to act as a vector accelerometer for applications in many vibration measurementfields.

Publication DOI: https://doi.org/10.1364/OL.45.000125
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
Additional Information: This paper was published in Optics Letters 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/OL.45.000125. 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
Publication ISSN: 1539-4794
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.osa ... uri=ol-45-1-125 (Publisher URL)
PURE Output Type: Article
Published Date: 2020-01-01
Published Online Date: 2019-11-18
Accepted Date: 2019-11-10
Authors: Xie, Lang
Luo, Binbin
Zhao, Mingfu
Deng, Ou
Liu, Enhua
Liu, Peng
Wang, Yajie
Zhang, Lin (ORCID Profile 0000-0002-1691-5577)



Version: Accepted Version

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