Ring-core few-mode fiber and DPP-BOTDA-based distributed large-curvature sensing eligible for shape reconstruction

Pengbai Xu; Huapeng Guo; Xiaolong Wang; Lei Shen; Kunhua Wen; Yuehui Sun; Dexin Ba; Yongkang Dong; Xinyong Dong; Jun Yang; Yuwen Qin

doi:10.1364/OE.473974

Ring-core few-mode fiber and DPP-BOTDA-based distributed large-curvature sensing eligible for shape reconstruction

Pengbai Xu, Huapeng Guo, Xiaolong Wang, Lei Shen, Kunhua Wen, Yuehui Sun, Dexin Ba, Yongkang Dong, Xinyong Dong, Jun Yang, Yuwen Qin

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

This study proposes a distributed large-curvature sensor based on ring-core few-mode fiber (RC-FMF) and differential pulse-pair Brillouin optical time-domain analysis (DPP-BOTDA). The RC-FMF is adhered to a thin steel substrate and an asymmetric hump shape is reconstructed using the Frenet-Serret algorithm. The proposed curvature sensor demonstrates a larger curvature-sensing range, excellent tolerance to bending-induced optical loss, and increased Brillouin gain coefficient. The proposed sensor also demonstrates longer sensing distance and continuous absolute measurement compared to other sensors. The proposed model can be applied to the end tracking of soft robotics and structural health monitoring of civil infrastructures.

Original language	English
Pages (from-to)	42553-42563
Number of pages	11
Journal	Optics Express
Volume	30
Issue number	23
DOIs	https://doi.org/10.1364/OE.473974
State	Published - 7 Nov 2022
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Funding

Funding. Program for Guangdong Introducing Innovative and Enterpreneurial Teams (2019ZT08X340); National Natural Science Foundation of China (62005055, U2001601); Guangdong Provincial Key Laboratory of Photonics Information Technology (2020B121201011); Program of Marine Economy Development Special Fund (Six Marine Industries) under Department of Natural Resources of Guangdong Province (GDNRC [2021]33); Basic and Applied Basic Research Foundation of Guangdong Province (2021A1515011891).

Funders	Funder number
Department of Natural Resources of Guangdong Province	GDNRC [2021]33
Guangdong Provincial Key Laboratory of Photonics Information Technology	2020B121201011
Program for Guangdong Introducing Innovative and Enterpreneurial Teams	2019ZT08X340
Program of Marine Economy Development Special Fund
Six Marine Industries
National Natural Science Foundation of China	62005055, U2001601
Basic and Applied Basic Research Foundation of Guangdong Province	2021A1515011891

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Cite this

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title = "Ring-core few-mode fiber and DPP-BOTDA-based distributed large-curvature sensing eligible for shape reconstruction",

abstract = "This study proposes a distributed large-curvature sensor based on ring-core few-mode fiber (RC-FMF) and differential pulse-pair Brillouin optical time-domain analysis (DPP-BOTDA). The RC-FMF is adhered to a thin steel substrate and an asymmetric hump shape is reconstructed using the Frenet-Serret algorithm. The proposed curvature sensor demonstrates a larger curvature-sensing range, excellent tolerance to bending-induced optical loss, and increased Brillouin gain coefficient. The proposed sensor also demonstrates longer sensing distance and continuous absolute measurement compared to other sensors. The proposed model can be applied to the end tracking of soft robotics and structural health monitoring of civil infrastructures.",

author = "Pengbai Xu and Huapeng Guo and Xiaolong Wang and Lei Shen and Kunhua Wen and Yuehui Sun and Dexin Ba and Yongkang Dong and Xinyong Dong and Jun Yang and Yuwen Qin",

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doi = "10.1364/OE.473974",

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AU - Xu, Pengbai

AU - Guo, Huapeng

AU - Wang, Xiaolong

AU - Shen, Lei

AU - Wen, Kunhua

AU - Sun, Yuehui

AU - Ba, Dexin

AU - Dong, Yongkang

AU - Dong, Xinyong

AU - Yang, Jun

AU - Qin, Yuwen

PY - 2022/11/7

Y1 - 2022/11/7

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AB - This study proposes a distributed large-curvature sensor based on ring-core few-mode fiber (RC-FMF) and differential pulse-pair Brillouin optical time-domain analysis (DPP-BOTDA). The RC-FMF is adhered to a thin steel substrate and an asymmetric hump shape is reconstructed using the Frenet-Serret algorithm. The proposed curvature sensor demonstrates a larger curvature-sensing range, excellent tolerance to bending-induced optical loss, and increased Brillouin gain coefficient. The proposed sensor also demonstrates longer sensing distance and continuous absolute measurement compared to other sensors. The proposed model can be applied to the end tracking of soft robotics and structural health monitoring of civil infrastructures.

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Ring-core few-mode fiber and DPP-BOTDA-based distributed large-curvature sensing eligible for shape reconstruction

Abstract

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