Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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AN IMPROVED ELECTRICAL-CONDUCTANCE SENSOR FOR VOID-FRACTION MEASUREMENT IN A HORIZONTAL PIPE

  • KO, MIN SEOK (Nuclear Safety Research Center, Chung-Ang University) ;
  • LEE, BO AN (Institute for Nuclear Science and Technology, Jeju National University) ;
  • WON, WOO YOUN (Department of Nuclear and Energy Engineering, Jeju National University) ;
  • LEE, YEON GUN (Department of Nuclear and Energy Engineering, Jeju National University) ;
  • JERNG, DONG WOOK (Nuclear Safety Research Center, Chung-Ang University) ;
  • KIM, SIN (School of Energy Systems Engineering, Chung-Ang University)
  • Received : 2015.04.14
  • Accepted : 2015.06.29
  • Published : 2015.12.25
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Abstract

The electrical-impedance method has been widely used for void-fraction measurement in two-phase flow due to its many favorable features. In the impedance method, the response characteristics of the electrical signal heavily depend upon flow pattern, as well as phasic volume. Thus, information on the flow pattern should be given for reliable void-fraction measurement. This study proposes an improved electrical-conductance sensor composed of a three-electrode set of adjacent and opposite electrodes. In the proposed sensor, conductance readings are directly converted into the flow pattern through a specified criterion and are consecutively used to estimate the corresponding void fraction. Since the flow pattern and the void fraction are evaluated by reading conductance measurements, complexity of data processing can be significantly reduced and real-time information provided. Before actual applications, several numerical calculations are performed to optimize electrode and insulator sizes, and optimal design is verified by static experiments. Finally, the proposed sensor is applied for air-water two-phase flow in a horizontal loop with a 40-mm inner diameter and a 5-m length, and its measurement results are compared with those of a wire-mesh sensor.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea (NRF), Chung-Ang University

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