Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers
In distributed shape sensing, the shape reconstruction error is more and more sensitive to the strain measuring error along with curvature radius of reconstructed shape increasing, which causes a notable challenge for large curvature radius shape reconstructing. In this paper, we demonstrate a large...
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2021-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/9492824/ |
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| author | Zeen Chen Chenhuan Wang Zhenyang Ding Dongfang Zhu Haohan Guo Ming Pan Yin Yu Kun Liu Junfeng Jiang Tiegen Liu |
| author_facet | Zeen Chen Chenhuan Wang Zhenyang Ding Dongfang Zhu Haohan Guo Ming Pan Yin Yu Kun Liu Junfeng Jiang Tiegen Liu |
| author_sort | Zeen Chen |
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| description | In distributed shape sensing, the shape reconstruction error is more and more sensitive to the strain measuring error along with curvature radius of reconstructed shape increasing, which causes a notable challenge for large curvature radius shape reconstructing. In this paper, we demonstrate a large curvature radius shape sensing using optical frequency domain reflectometry (OFDR) in multi-core fibers. We construct a theoretical model of strain measuring error and curvature radius reconstructing errors under different curvature radius. In the experiment, by this reconstructing error model, we optimally select the measurable strain resolution and the sensing spatial resolution to realize the shape reconstruction with a large curvature radius and reconstruct two-dimensional (2D) circle shapes of curvature radii from 5 cm to 100 cm. To verify the accuracy of three-dimensional (3D) shape reconstruction, we present a 3D shape sensing validation method based on 3D printing technology. We fabricate a 3D phantom containing a groove with a variable curvature radius of 5 cm to 100 cm. The presented distributed shape sensing system realize to reconstruct this complicated 3D shape. The root-mean-square error of curvature radius between the reconstructed and designed 3D space curves is 7.2 mm and the mean Euclidean distance is 3.4 mm. |
| format | Article |
| id | doaj-art-db4bbe9bac7f46f59ee3ae15c46ca9c2 |
| institution | Kabale University |
| issn | 1943-0655 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-db4bbe9bac7f46f59ee3ae15c46ca9c22025-08-20T03:53:52ZengIEEEIEEE Photonics Journal1943-06552021-01-011341910.1109/JPHOT.2021.30983009492824Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core FibersZeen Chen0Chenhuan Wang1https://orcid.org/0000-0002-4657-3395Zhenyang Ding2https://orcid.org/0000-0002-0483-477XDongfang Zhu3Haohan Guo4Ming Pan5Yin Yu6Kun Liu7https://orcid.org/0000-0003-2460-6851Junfeng Jiang8https://orcid.org/0000-0003-0393-8451Tiegen Liu9https://orcid.org/0000-0003-4141-6961School of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin, ChinaSchool of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin, ChinaSchool of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin, ChinaShanghai Aerospace Control Technology Institute, Shanghai, ChinaSchool of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin, ChinaSchool of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin, ChinaSchool of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin, ChinaSchool of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin, ChinaSchool of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin, ChinaSchool of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin, ChinaIn distributed shape sensing, the shape reconstruction error is more and more sensitive to the strain measuring error along with curvature radius of reconstructed shape increasing, which causes a notable challenge for large curvature radius shape reconstructing. In this paper, we demonstrate a large curvature radius shape sensing using optical frequency domain reflectometry (OFDR) in multi-core fibers. We construct a theoretical model of strain measuring error and curvature radius reconstructing errors under different curvature radius. In the experiment, by this reconstructing error model, we optimally select the measurable strain resolution and the sensing spatial resolution to realize the shape reconstruction with a large curvature radius and reconstruct two-dimensional (2D) circle shapes of curvature radii from 5 cm to 100 cm. To verify the accuracy of three-dimensional (3D) shape reconstruction, we present a 3D shape sensing validation method based on 3D printing technology. We fabricate a 3D phantom containing a groove with a variable curvature radius of 5 cm to 100 cm. The presented distributed shape sensing system realize to reconstruct this complicated 3D shape. The root-mean-square error of curvature radius between the reconstructed and designed 3D space curves is 7.2 mm and the mean Euclidean distance is 3.4 mm.https://ieeexplore.ieee.org/document/9492824/Optical sensorsoptical fiber sensorsdistributed optical fiber sensingoptical frequency domain reflectometryshape sensing |
| spellingShingle | Zeen Chen Chenhuan Wang Zhenyang Ding Dongfang Zhu Haohan Guo Ming Pan Yin Yu Kun Liu Junfeng Jiang Tiegen Liu Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers IEEE Photonics Journal Optical sensors optical fiber sensors distributed optical fiber sensing optical frequency domain reflectometry shape sensing |
| title | Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers |
| title_full | Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers |
| title_fullStr | Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers |
| title_full_unstemmed | Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers |
| title_short | Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers |
| title_sort | demonstration of large curvature radius shape sensing using optical frequency domain reflectometry in multi core fibers |
| topic | Optical sensors optical fiber sensors distributed optical fiber sensing optical frequency domain reflectometry shape sensing |
| url | https://ieeexplore.ieee.org/document/9492824/ |
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