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High-performance vector bending and orientation distinguishing curvature sensor based on asymmetric coupled multi-core fibre

High-performance vector bending and orientation distinguishing curvature sensor based on asymmetric coupled multi-core fibre
High-performance vector bending and orientation distinguishing curvature sensor based on asymmetric coupled multi-core fibre
Fibre optic technology is rapidly evolving, driven mainly by telecommunication and sensing applications. Excellent reliability of the manufacturing processes and low cost have drawn ever increasing attention to fibre-based sensors, e.g. for studying mechanical response/limitations of aerospace composite structures. Here, a vector bending and orientation distinguishing curvature sensor, based on asymmetric coupled multi-core fibre, is proposed and experimentally demonstrated. By optimising the mode coupling effect of a seven core multi-core fibre, we have achieved a sensitivity of − 1.4 nm/° as a vector bending sensor and − 17.5 nm/m−1 as a curvature sensor. These are the highest sensitivities reported so far, to the best of our knowledge. In addition, our sensor offers several advantages such as repeatability of fabrication, wide operating range and small size and weight which benefit its sensing applications.
Note: An Author Correction to this article was published on 11 January 2021 at  https://www.nature.com/articles/s41598-020-80648-9
2045-2322
Arrizabalaga, Oskar
5ce39e54-7ad0-4271-9252-291a96092b41
Sun, Qi
66e3c3df-5a60-4927-a47a-c4f6020c2fc0
Beresna, Martynas
a6dc062e-93c6-46a5-aeb3-8de332cdec7b
Lee, Timothy
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Zubia, Joseba
9e91aca4-3457-48e1-a843-6b98c9fa5ca0
Pascual, Javier Velasco
882559ad-dad2-47db-9008-c0daf94bb5ef
Ocariz, Idurre Saez
7d422e56-f6a9-4d1f-9f56-55d7605a1f9c
Schulzgen, Axel
7a267427-28c9-4079-8162-48337fdb391f
Antonio-Lopez, Jose Enrique
049ef0bd-4292-4b93-8b7b-0c6e9f1a7801
Amezcua-Correa, Rodrigo
ce08f3e3-c641-440b-b96a-13f860f0b97c
Villatoro, Joel
04c0b542-1ba8-41d1-af80-57859ae47e3b
Brambilla, Gilberto
815d9712-62c7-47d1-8860-9451a363a6c8
Arrizabalaga, Oskar
5ce39e54-7ad0-4271-9252-291a96092b41
Sun, Qi
66e3c3df-5a60-4927-a47a-c4f6020c2fc0
Beresna, Martynas
a6dc062e-93c6-46a5-aeb3-8de332cdec7b
Lee, Timothy
beb3b88e-3e5a-4c3f-8636-bb6de8040fcc
Zubia, Joseba
9e91aca4-3457-48e1-a843-6b98c9fa5ca0
Pascual, Javier Velasco
882559ad-dad2-47db-9008-c0daf94bb5ef
Ocariz, Idurre Saez
7d422e56-f6a9-4d1f-9f56-55d7605a1f9c
Schulzgen, Axel
7a267427-28c9-4079-8162-48337fdb391f
Antonio-Lopez, Jose Enrique
049ef0bd-4292-4b93-8b7b-0c6e9f1a7801
Amezcua-Correa, Rodrigo
ce08f3e3-c641-440b-b96a-13f860f0b97c
Villatoro, Joel
04c0b542-1ba8-41d1-af80-57859ae47e3b
Brambilla, Gilberto
815d9712-62c7-47d1-8860-9451a363a6c8

Arrizabalaga, Oskar, Sun, Qi, Beresna, Martynas, Lee, Timothy, Zubia, Joseba, Pascual, Javier Velasco, Ocariz, Idurre Saez, Schulzgen, Axel, Antonio-Lopez, Jose Enrique, Amezcua-Correa, Rodrigo, Villatoro, Joel and Brambilla, Gilberto (2020) High-performance vector bending and orientation distinguishing curvature sensor based on asymmetric coupled multi-core fibre. Scientific Reports, 10, [14058]. (doi:10.1038/s41598-020-70999-8).

Record type: Article

Abstract

Fibre optic technology is rapidly evolving, driven mainly by telecommunication and sensing applications. Excellent reliability of the manufacturing processes and low cost have drawn ever increasing attention to fibre-based sensors, e.g. for studying mechanical response/limitations of aerospace composite structures. Here, a vector bending and orientation distinguishing curvature sensor, based on asymmetric coupled multi-core fibre, is proposed and experimentally demonstrated. By optimising the mode coupling effect of a seven core multi-core fibre, we have achieved a sensitivity of − 1.4 nm/° as a vector bending sensor and − 17.5 nm/m−1 as a curvature sensor. These are the highest sensitivities reported so far, to the best of our knowledge. In addition, our sensor offers several advantages such as repeatability of fabrication, wide operating range and small size and weight which benefit its sensing applications.
Note: An Author Correction to this article was published on 11 January 2021 at  https://www.nature.com/articles/s41598-020-80648-9

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Accepted/In Press date: 7 August 2020
Published date: 20 August 2020

Identifiers

Local EPrints ID: 453361
URI: http://eprints.soton.ac.uk/id/eprint/453361
ISSN: 2045-2322
PURE UUID: 3ed1387e-63e0-46e4-842d-1159d861761f
ORCID for Qi Sun: ORCID iD orcid.org/0000-0002-0850-5463
ORCID for Gilberto Brambilla: ORCID iD orcid.org/0000-0002-5730-0499

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Date deposited: 13 Jan 2022 18:14
Last modified: 28 Apr 2022 02:19

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Contributors

Author: Oskar Arrizabalaga
Author: Qi Sun ORCID iD
Author: Timothy Lee
Author: Joseba Zubia
Author: Javier Velasco Pascual
Author: Idurre Saez Ocariz
Author: Axel Schulzgen
Author: Jose Enrique Antonio-Lopez
Author: Rodrigo Amezcua-Correa
Author: Joel Villatoro

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