Residual thickness enhanced core-removed D-shaped single-mode fiber and its application for VOC evaporation monitoring
| Autor: | Junbin Fang, Jianhui Yu, Huihui Lu, Yunhan Luo, Renjing Zhang, Bincheng Huang, Zhinbin Li, Zhe Chen, Huadan Zheng, Wenguo Zhu, Frank K. Tittel, Heyuan Guan, Jun Zhang, Yuhang Li, Jieyuan Tang, Haoyang Lin, Xiaohang Gu, Yongchun Zhong |
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| Rok vydání: | 2020 |
| Předmět: |
Materials science
Silica fiber business.industry Evaporation Single-mode optical fiber Optical power 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Atomic and Molecular Physics and Optics 010309 optics Core (optical fiber) Optics Fiber optic sensor 0103 physical sciences Optoelectronics 0210 nano-technology business Refractive index Photonic-crystal fiber |
| Zdroj: | Optics express. 28(10) |
| ISSN: | 1094-4087 |
| Popis: | A core-removed D-shaped structure with different residual thickness (RT) was manufactured on a single mode silica fiber (SMF) to enhance the sensitivity by using of ultra-precise polishing technology. With six different RTs ranging from ∼55 µm to ∼28 µm, the RT enhancement effect in a D-shaped SMF was researched in detail. The influence of the RT on its transmission spectra was investigated both theoretically and experimentally. Considering a compromise between the multimode interference efficiency and optical power loss, an optimum RT value of 34.09 µm was achieved. The obtained refractive index (RI) sensitivity was 10243 nm/RIU in the RI range of 1.430-1.444, corresponding to a RI resolution of 1.9×10−6 RIU. A high-performance all-fiber sensor was developed to monitor the evaporation process volatile organic compounds (VOCs) based on the RT-enhanced D-shaped SMF. As proof of concept, a 2-hour continuous monitoring was carried to monitor the chloroform and alcohol mixture. As a result, the evaporation of alcohol and chloroform were clearly identified and monitored. The developed RT-enhanced D-shaped fiber sensor provides an alternative way for chemical process monitoring and industrial applications. |
| Databáze: | OpenAIRE |
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