Fabrication and Demodulation for Sensitivity Enhanced Fiber Fabry-Perot Sensor Based on Hookean Effect

Qian Yang,Shengchao Chen, Zilu Liu, Lei Liu, Sen Zhang,Sufen Ren, Longtao Lv,Guanjun Wang,Chong Shen

IEEE SENSORS JOURNAL(2023)

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摘要
Fabry-Perot interference (FPI) structure for strain measurement relies on complex and expensive air microcavities, significantly limiting its use in micro-strain size. This paper proposes a novel Hookean effect-based FPI sensor with Polydimethylsiloxane (PDMS) flexible material as the cavity and ultra-hard, completely opaque silicon carbide (SiC) crystal as the reflective surface, dubbed Hookean-type FPI sensor. The relationship between the axial strain response and the PDMS material properties is investigated to disclose the optimal cavity elastic material alternative. The proposed Hookean-type FPI sensor has an excellent linear response, with a sensitivity of up to 15pm/mu epsilon. To improve the demodulation efficiency and cost of microstrain sensors, a high-efficiency intelligent demodulation system based on the array waveguide grating (AWG) and back-propagation neural network (BPNN) for the Hooke-type FPI sensor is introduced to interrogate the axial micro-strain along the fiber. Experiments conducted in the real-world axial strain dataset demonstrate the effectiveness and superiority of the proposed demodulation system. The proposed sensing framework can provide reliable analytical support for engineering applications.
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关键词
Array waveguide grating (AWG),backpropagation neural network (BPNN),Fabry-Perot interference (FPI),Hookean effect,microstrain
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