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Open AccessArticle

Sensitivity Enhancement of FBG-Based Strain Sensor

School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
School of Engineering, University of Birmingham, Birmingham B15 2TT, UK
Department of Biomedical Engineering, National University of Singapore, Singapore 117576, Singapore
Author to whom correspondence should be addressed.
Sensors 2018, 18(5), 1607;
Received: 16 April 2018 / Revised: 12 May 2018 / Accepted: 14 May 2018 / Published: 17 May 2018
(This article belongs to the Special Issue Recent Advances in Fiber Bragg Grating Based Sensors)
A novel fiber Bragg grating (FBG)-based strain sensor with a high-sensitivity is presented in this paper. The proposed FBG-based strain sensor enhances sensitivity by pasting the FBG on a substrate with a lever structure. This typical mechanical configuration mechanically amplifies the strain of the FBG to enhance overall sensitivity. As this mechanical configuration has a high stiffness, the proposed sensor can achieve a high resonant frequency and a wide dynamic working range. The sensing principle is presented, and the corresponding theoretical model is derived and validated. Experimental results demonstrate that the developed FBG-based strain sensor achieves an enhanced strain sensitivity of 6.2 pm/με, which is consistent with the theoretical analysis result. The strain sensitivity of the developed sensor is 5.2 times of the strain sensitivity of a bare fiber Bragg grating strain sensor. The dynamic characteristics of this sensor are investigated through the finite element method (FEM) and experimental tests. The developed sensor exhibits an excellent strain-sensitivity-enhancing property in a wide frequency range. The proposed high-sensitivity FBG-based strain sensor can be used for small-amplitude micro-strain measurement in harsh industrial environments. View Full-Text
Keywords: fiber Bragg grating; strain; sensitivity enhancement; lever structure fiber Bragg grating; strain; sensitivity enhancement; lever structure
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MDPI and ACS Style

Li, R.; Chen, Y.; Tan, Y.; Zhou, Z.; Li, T.; Mao, J. Sensitivity Enhancement of FBG-Based Strain Sensor. Sensors 2018, 18, 1607.

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