Potential of Mechanically Induced Cascaded Long-Period Grating Structure for Reflectometric Pressure, Strain, and Temperature Sensing
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- Das, Avik Kumar
- Dept Civil & Environm Engn, Hong Kong University of Science & Technology
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- Lee, Heeyoung
- Dept Civil & Environm Engn, Coll Engn, Shibaura Institute of Technology
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- Noda, Kohei
- Dept Civil & Environm Engn, Coll Engn, Inst Innovat Res, Tokyo Institute of Technology
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- Mizuno, Yosuke
- Dept Civil & Environm Engn, Coll Engn, Inst Innovat Res, Fac Engn, Yokohama National University
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- Leung, Christopher Kin Ying
- Dept Civil & Environm Engn, Hong Kong University of Science & Technology
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- Nakamura, Kentaro
- Dept Civil & Environm Engn, Coll Engn, Inst Innovat Res, Tokyo Institute of Technology
説明
We present the first report on reflectometric optical fiber sensing based on mechanically induced cascaded long-period grating (LPG) structure. This method utilizes in-house designed mechanical casings and a bare fiber. When a fiber is sandwiched between the casings and pressed by tightening screws, an LPG is induced due to a photo-elastic effect. By exploiting Fresnel refection at a fiber end, a cascaded LPG structure can be implemented using a single LPG, enabling reflectometric configuration. When this sensor is subjected to external physical processes, the attenuation bands change clearly, and their shift can be used for non-destructive evaluations. We show experimentally that this sensor can measure loads of up to 10 N without producing any permanent change in the fiber properties, indicating its pressure sensing capability. We also show that this sensor can potentially measure strain and temperature. In our experiments, the strain and temperature sensitivities are 9.4 nm/% and 0.045 nm/degrees C, respectively.
収録刊行物
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- IEEE Sensors Journal
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IEEE Sensors Journal 20 (18), 10539-10546, 2020-09-15
IEEE - Institute of Electrical and Electronics Engineers, Inc
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詳細情報 詳細情報について
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- CRID
- 1050300777683503872
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- ISSN
- 15581748
- 23799153
- 1530437X
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- HANDLE
- 10131/00014940
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- IRDB
- Crossref
- KAKEN