A Fiber Bragg Grating Force Sensor with Sensitization Structure

Hu, Dongtao; Lv, Shanke; Guo, Yongxing; He, Huagang; Liu, Jiayi

doi:10.1109/jsen.2020.3027569

Cited by 7 publications

(1 citation statement)

References 22 publications

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“…The designed novel FBG-based strain sensor can be applied to micro-strain measurement in harsh industrial environments. Hu et al [21] introduced a high-sensitivity FBG force sensor; two FBGs adhered to the surfaces of positive and negative strain bodies and the strain directions were opposite in the two bodies. The experimental results show that the sensitivity of the force sensor is about 4.8 times greater than an FBG directly adhered to the surface of the pipeline.…”

Section: Introductionmentioning

confidence: 99%

FBG-Based Sensitivity Structure Based on Flexure Hinge and Its Application for Pipeline Pressure Detection

Liu

Wang

et al. 2022

Materials

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With the widespread application of pipelines in engineering, more and more accidents occur because of pipeline leakage. Therefore, it is particularly important to continuously monitor the pipeline pressure. In this study, a non-intrusive and high-sensitivity structure based on FBG (Fiber Bragg grating) sensor is proposed. Firstly, the basic sensing theory of FBG and the state of a pipeline wall under inner pressure are analyzed. Then, structural sensitivity is deduced based on the flexure hinge and mechanical lever. Subsequently, finite element simulation for the whole sensitization structure is carried out, and optimal parameters are determined to obtain the maximum sensitivity. Finally, laboratory experiments are conducted to verify the function of the designed sensitivity structure. The experimental results show a good agreement with the simulation results. In the experiment, it can be found that the designed structure has a strain sensitivity of 9.59 pm/με, which is 11.51 times the pipeline surface strain. Besides, the structure is convenient to operate and has a good applied prospect for the engineering practice.

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Section: Introductionmentioning

confidence: 99%