Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141287
Title: Novel fiber bragg grating sensing method based on the sidelobe modulation for ultrasound detection
Authors: Liang, Sheng
Tjin, Swee Chuan
Lin, Bo
Sheng, Xinzhi
Lou, Shuqin
Zhang, Yongxin
Wang, Xin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Liang, S., Tjin, S. C., Lin, B., Sheng, X., Lou, S., Zhang, Y., & Wang, X. (2019). Novel fiber bragg grating sensing method based on the sidelobe modulation for ultrasound detection. Journal of Lightwave Technology, 37(11), 2686-2693. doi:10.1109/JLT.2018.2862635
Journal: Journal of Lightwave Technology
Abstract: This contribution demonstrates the interaction between the fiber Bragg grating (FBG) and the ultrasound. When the grating length is much longer than the ultrasonic wavelength, the conventional wavelength-modulation method is invalid. In order to find out an effective sensing method, in this case, a novel sidelobe modulation has been proposed and investigated. When grating length is much longer than the ultrasonic wavelength, the Bragg wavelength is not shifted; however, the reflectivity of sidelobe is modulated by ultrasound, periodically, which can be utilized as an effective ultrasound sensing method. In order to optimize the performances of this method, the characteristics of the sidelobes are further analyzed for different ultrasonic displacement amplitude, frequency, and grating length, respectively. The analysis results indicate that a proper choice of the grating length would enable the sidelobe modulation to be utilized for detecting the ultrasound with an appropriate range of ultrasonic frequency and amplitude. This method is preliminarily validated in the experiment, and the experimental results show that our proposed sidelobe-modulation method is effective to detect the 7.8 MHz ultrasonic wave by a simple intensity-demodulation using a 5 mm FBG, where the wavelength modulation is invalid.
URI: https://hdl.handle.net/10356/141287
ISSN: 0733-8724
DOI: 10.1109/JLT.2018.2862635
Rights: © 2018 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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