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Peak-to-peak standard deviation based bubble detection method in sodium flow with electromagnetic vortex flowmeter.

Wei Xu1, Ke-Jun Xu1, Jian-Ping Wu1

  • 1School of Electrical and Automation Engineering, Hefei University of Technology, Hefei 230009, People's Republic of China.

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This study presents a novel signal processing method for detecting steam generator leakage in sodium-cooled fast reactors. The developed system accurately identifies small leaks using an electromagnetic vortex flowmeter, enhancing nuclear reactor safety.

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Area of Science:

  • Nuclear Engineering
  • Materials Science
  • Signal Processing

Background:

  • Steam generators (SGs) in sodium-cooled fast reactors are critical heat exchange components.
  • Leakage in SG transfer tubes can cause dangerous sodium-water reactions, compromising reactor safety.
  • Early detection of sodium-water reactions is essential for operational safety.

Purpose of the Study:

  • To develop and validate a signal processing method for detecting steam generator leakage using an electromagnetic vortex flowmeter (EVFM).
  • To enhance the safety of sodium-cooled fast reactors by enabling real-time monitoring of SG integrity.

Main Methods:

  • Hydraulic experiments were conducted using water to simulate liquid sodium, with gas injection to mimic leaks.
  • Electromagnetic vortex flowmeter (EVFM) sensor output signals were collected and analyzed in the time domain.
  • A real-time signal processing method based on peak-to-peak standard deviation was developed and implemented on a digital signal processor (DSP) system.

Main Results:

  • The developed signal processing method effectively detects bubbles in liquid sodium, indicative of leaks.
  • Experiments in liquid sodium confirmed the system's effectiveness in identifying leaks.
  • The system achieved a minimum detectable water leakage rate of 0.1 g/s.

Conclusions:

  • The proposed signal processing method and hardware system provide a reliable means for detecting steam generator leakage in sodium-cooled fast reactors.
  • This technology significantly improves the safety monitoring capabilities for nuclear reactors.
  • The real-time detection of small leaks enhances the overall safety and operational integrity of the reactor system.