DOI | Trouver le DOI : https://doi.org/10.1109/JSEN.2020.2995606 |
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Auteur | Rechercher : Wang, MohanIdentifiant ORCID : https://orcid.org/0000-0001-6678-4993; Rechercher : Zhao, Kehao; Rechercher : Huang, Sheng; Rechercher : Wu, Jingyu; Rechercher : Lu, Ping1Identifiant ORCID : https://orcid.org/0000-0002-8610-4032; Rechercher : Ohodnicki, Paul R.; Rechercher : Lu, PingIdentifiant ORCID : https://orcid.org/0000-0002-9201-0956; Rechercher : Li, Ming-JunIdentifiant ORCID : https://orcid.org/0000-0003-4141-6670; Rechercher : Mihailov, Stephen J.1Identifiant ORCID : https://orcid.org/0000-0002-6144-0937; Rechercher : Chen, Kevin P.Identifiant ORCID : https://orcid.org/0000-0003-1595-4475 |
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Affiliation | - Conseil national de recherches du Canada. Technologies de sécurité et de rupture
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Format | Texte, Article |
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Sujet | micromachining; optical fiber sensors; temperature measurement; ultrafast optics |
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Résumé | This paper presents a method of reel-to-reel femtosecond laser direct writing that enables the continuous inscription of low-loss and high-temperature stable Rayleigh scattering centers inside the core of single-mode optical fibers for distributed temperature sensing up to 1000°C. By examining the correlation between the Rayleigh backscattering profile and the cross-section morphology of femtosecond laser-induced nanograting in fiber cores, this paper reveals the mechanisms that underlie the fabrication of high-temperature stable distributed fiber sensors with low loss. By fine-tuning laser exposure conditions, the femtosecond laser-fabricated Rayleigh scattering enhanced section could achieve an optimized propagation loss of 0.01 dB/cm with an increased signal-to-noise ratio of over 35 dB for meters of lengths. Long-term high-temperature stability of the Rayleigh scattering enhanced section was successfully demonstrated, with improved thermal stability and signal-to-noise ratio. The fabrication method presented here provides a promising technique to improve the performance of Optical Frequency-Domain Reflectometry based distributed sensing for harsh environment applications. |
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Date de publication | 2020-05-19 |
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Maison d’édition | IEEE |
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Dans | |
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Langue | anglais |
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Publications évaluées par des pairs | Oui |
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Exporter la notice | Exporter en format RIS |
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Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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Identificateur de l’enregistrement | 4101a06c-854c-407a-9ff4-f87dea7a71b9 |
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Enregistrement créé | 2021-05-25 |
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Enregistrement modifié | 2021-05-26 |
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