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

Yang, Q; Chen, S; Liu, Z; Liu, L; Zhang, S; Ren, S; Lv, L; Wang, G; Shen, C

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

Yang, Q Chen, S

Liu, Z Liu, L Zhang, S Ren, S Lv, L Wang, G Shen, C

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Sensors Journal, 2023, 23, (23), pp. 28932-28941
Issue Date:: 2023-12-01

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Field	Value	Language
dc.contributor.author	Yang, Q
dc.contributor.author	Chen, S https://orcid.org/0000-0001-9992-2264
dc.contributor.author	Liu, Z
dc.contributor.author	Liu, L
dc.contributor.author	Zhang, S
dc.contributor.author	Ren, S
dc.contributor.author	Lv, L
dc.contributor.author	Wang, G
dc.contributor.author	Shen, C
dc.date.accessioned	2024-03-26T04:30:07Z
dc.date.available	2024-03-26T04:30:07Z
dc.date.issued	2023-12-01
dc.identifier.citation	IEEE Sensors Journal, 2023, 23, (23), pp. 28932-28941
dc.identifier.issn	1530-437X
dc.identifier.issn	1558-1748
dc.identifier.uri	http://hdl.handle.net/10453/177178
dc.description.abstract	Fabry-Pérot interference (FPI) structure for strain measurement relies on complex and expensive air microcavities, significantly limiting its use in microstrain size. This article proposes a novel Hookean effect-based FPI sensor with polydimethylsiloxane (PDMS) flexible material as the cavity and ultrahard, 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 {15} \text {pm}/\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 microstrain 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.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Sensors Journal
dc.relation.isbasedon	10.1109/JSEN.2023.3311088
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0205 Optical Physics, 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering
dc.subject.classification	Analytical Chemistry
dc.subject.classification	40 Engineering
dc.title	Fabrication and Demodulation for Sensitivity Enhanced Fiber Fabry-Pérot Sensor Based on Hookean Effect
dc.type	Journal Article
utslib.citation.volume	23
utslib.for	0205 Optical Physics
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2024-03-26T04:30:06Z
pubs.issue	23
pubs.publication-status	Published
pubs.volume	23
utslib.citation.issue	23

Abstract:

Fabry-Pérot interference (FPI) structure for strain measurement relies on complex and expensive air microcavities, significantly limiting its use in microstrain size. This article proposes a novel Hookean effect-based FPI sensor with polydimethylsiloxane (PDMS) flexible material as the cavity and ultrahard, 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 {15} \text {pm}/\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 microstrain 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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http://hdl.handle.net/10453/177178