Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/95437
DC Field | Value | Language |
---|---|---|
dc.contributor | Photonics Research Centre | en_US |
dc.contributor | Department of Electronic and Information Engineering | en_US |
dc.creator | Yang, Z | en_US |
dc.creator | Yuan, W | en_US |
dc.creator | Yu, C | en_US |
dc.date.accessioned | 2022-09-19T02:00:54Z | - |
dc.date.available | 2022-09-19T02:00:54Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/95437 | - |
dc.language.iso | en | en_US |
dc.publisher | Molecular Diversity Preservation International (MDPI) | en_US |
dc.rights | Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. | en_US |
dc.rights | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Yang, Z.; Yuan, W.; Yu, C. Hollow Core Bragg Fiber-Based Sensor for Simultaneous Measurement of Curvature and Temperature. Sensors 2021, 21, 7956 is available at https://doi.org/10.3390/s21237956. | en_US |
dc.subject | Anti-resonant reflecting optical waveguide (ARROW) | en_US |
dc.subject | Curvature | en_US |
dc.subject | Hollow core Bragg fiber (HCBF) | en_US |
dc.subject | Temperature | en_US |
dc.title | Hollow core bragg fiber-based sensor for simultaneous measurement of curvature and temperature | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 21 | en_US |
dc.identifier.issue | 23 | en_US |
dc.identifier.doi | 10.3390/s21237956 | en_US |
dcterms.abstract | In this paper, the hollow core Bragg fiber (HCBF)-based sensor based on anti-resonant reflecting optical waveguide (ARROW) model is proposed and experimentally demonstrated for simultaneous measurement of curvature and temperature by simply sandwiching a segment of HCBF within two single-mode fibers (SMFs). The special construction of a four-bilayer Bragg structure provides a well-defined periodic interference envelope in the transmission spectrum for sensing external perturbations. Owing to different sensitivities of interference dips, the proposed HCBF-based sensor is capable of dual-parameter detection by monitoring the wavelength shift. The highest curvature sensitivity of the proposed sensor is measured to be 74.4 pm/m−1 in the range of 1.1859–2.9047 m−1 with the adjusted R square value of 0.9804. In the meanwhile, the best sensitivity of temperature sensing was detected to be 16.8 pm/◦C with the linearity of 0.997 with temperature range varying from 25 to 55◦C. Furthermore, with the aid of the 2 × 2 matrix, the dual demodulation of curvature and temperature can be carried out to realize the simultaneous measurement of these two parameters. Besides dual-parameter sensing based on wavelength shift, the proposed sensor can also measure temperature-insensitive curvature by demodulating the intensity of resonant dips. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Sensors, Dec. 2021, v. 21, no. 23, 7956 | en_US |
dcterms.isPartOf | Sensors | en_US |
dcterms.issued | 2021-12 | - |
dc.identifier.scopus | 2-s2.0-85120039813 | - |
dc.identifier.pmid | 34883960 | - |
dc.identifier.ros | 2021004417 | - |
dc.identifier.eissn | 1424-8220 | en_US |
dc.identifier.artn | 7956 | en_US |
dc.description.validate | 202209 bchy | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | CDCF_2021-2022 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Local In-novative and Research Teams Project of Guangdong Pearl River Talents Program; The Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 72337215 | - |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Yang_Hollow_Core_Bragg.pdf | 4.86 MB | Adobe PDF | View/Open |
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