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GONG Wenhui, ZHANG Xiongxing, KANG Jiawen. Research on dual-parameter characteristics of composite interference fiber sensor based on cascade FPI-MZI[J]. LASER TECHNOLOGY, 2022, 46(5): 618-623. DOI: 10.7510/jgjs.issn.1001-3806.2022.05.006
Citation: GONG Wenhui, ZHANG Xiongxing, KANG Jiawen. Research on dual-parameter characteristics of composite interference fiber sensor based on cascade FPI-MZI[J]. LASER TECHNOLOGY, 2022, 46(5): 618-623. DOI: 10.7510/jgjs.issn.1001-3806.2022.05.006

Research on dual-parameter characteristics of composite interference fiber sensor based on cascade FPI-MZI

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  • Received Date: September 07, 2021
  • Revised Date: November 03, 2021
  • Published Date: September 24, 2022
  • In order to achieve the simultaneous measurement and sensing detection of temperature and solution mass fraction in the industrial production process, a new dual-parameter sensor, which was composed of Fabry-Perot interference (FPI) and Mach-Zehnder interference (MZI) cascading interference structure was proposed. This new type of dual-parameter sensor cascade structure was composed of a single mode fiber (SMF) and a hollow core fiber (HCF) fused together. A method of simultaneously measuring the characteristic wavelength shift of the FPI reflection spectrum and the MZI transmission spectrum was adopted, and then the sensitivity difference between FPI and MZI to temperature and refractive index was obtained. The measurement of dual parameters of the sensor was realized by establishing the sensor temperature-mass fraction sensitivity matrix. The results show that the temperature sensitivity of FPI is 10pm/℃ in the temperature range of 40℃~150℃, while MZI is not sensitive to temperature. In the range of mass fraction 0.05~0.40, FPI is not sensitive to refractive index, while the sensitivity of MZI mass fraction is 232.3nm/RIU. The temperature and solution mass fraction can be measured by using this sensor. The study provides a reference for the dynamic measurement of dual-parameter in the processing industries such as petroleum, chemical, electricity, steel, and machinery.
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