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http://dx.doi.org/10.1016/j.net.2019.07.034

Transducer analysis and signal processing of PMSF with embedded bluff body  

Yan, Xiao-Xue (School of Electrical and Automation Engineering, Hefei University of Technology)
Xu, Ke-Jun (School of Electrical and Automation Engineering, Hefei University of Technology)
Xu, Wei (School of Electrical and Automation Engineering, Hefei University of Technology)
Yu, Xin-Long (School of Electrical and Automation Engineering, Hefei University of Technology)
Wu, Jian-Ping (School of Electrical and Automation Engineering, Hefei University of Technology)
Publication Information
Nuclear Engineering and Technology / v.52, no.2, 2020 , pp. 296-307 More about this Journal
Abstract
Permanent magnet sodium flowmeter (PMSF) have been used to measure the sodium flow in fast breeder reactors. Due to the effects of irradiation, thermal cycling, time lapse, etc., the magnetic flux density of the PMSF will decrease after being used in the reactor for a period of time. Therefore, it must be calibrated regularly. But some flowmeters that immersed in sodium cannot be removed for an off-line calibration, so the on-line calibration is required. However, the best online calibration accuracy of PMSF using cross-correlation analysis method was 2.0-level without considering the repeatability. In order to further improve this work, the operational principle of the transducer in PMSF is analyzed and the design principle of the transducer is proposed. The transducers were tested on the sodium flow loop to collect the experimental data. The signal characteristics are analyzed from the time and frequency domains, respectively. The cross-correlation analysis method based on biased estimation is adopted to obtain the flow rate. The verification experimental results showed that the measurement accuracy is 1.0-level when the flow velocity is above 0.5 m/s, and the measurement accuracy is 3.0-level when the flow velocity is in the range of 0.2 m/s to 0.5 m/s.
Keywords
Permanent magnet sodium flowmeter; Transducer design; Spectrum analysis; Cross-correlation analysis; Sodium flow loop experiment;
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