研究目的
Investigating the performance of a dual-cavity Fabry-Perot sensor for simultaneous measurement of temperature and pressure.
研究成果
The proposed fiber-optic DFPI sensor exhibits a temperature sensitivity of 29.63 nm/°C and a maximum pressure sensitivity of 1465.8 nm/MPa, within the temperature range of 40-1100 °C and the pressure range of 0-10 MPa. The diaphragm-free structure avoids the creep effect in high-temperature and high-pressure measurements.
研究不足
The sensor's performance is limited by the unknown relationship between refractive index and gas composition, temperature, and pressure for different gases. Additionally, higher pressure measurements are limited by the experimental system.
1:Experimental Design and Method Selection:
The sensor cascades an intrinsic Fabry–Perot interferometer (IFPI) and an extrinsic Fabry–Perot interferometer (EFPI) for temperature and pressure sensing, respectively. The pressure sensor is based on a diaphragm-free structure. Two optical path differences are interrogated simultaneously by using the fast Fourier transform-based white-light interferometry and the peak-to-peak method.
2:Sample Selection and Data Sources:
The sensor was fabricated using single mode fiber (SMF), hollow core fiber (HCF), and coreless fiber (CF). A micro air hole was fabricated at the center of the end face of the lead-in SMF 1 using a femtosecond laser.
3:List of Experimental Equipment and Materials:
A broadband light source (BBS), a pressure meter, a muffle furnace, and a home-made demodulator were used. The fs laser was employed to drill a micro-channel at the side wall of the HCF.
4:Experimental Procedures and Operational Workflow:
The sensor was sealed in a gas chamber and placed in the center of the muffle furnace. The temperature was increased from 40 °C to 1100 °C with a step of ~100 °C. At each step, the pressure was increased from 0 to 10 MPa with a step of 1 MPa.
5:Data Analysis Methods:
The reflected spectrum was processed by the FFT. Two band-pass filters were used to filter out main frequency components of the EFPI and the IFPI. Interference spectra were reconstructed by using the inverse fast Fourier transform (IFFT).
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