Design Optimization and Measurement Uncertainty of an Electromagnetic Level Sensor for Liquid Metal Reactors

被引:0
|
作者
Kent, Edward [1 ,2 ]
Dicenzo II, Duane [1 ,2 ]
Cameron, Brady [2 ]
Ban, Heng [2 ]
Grandy, Christopher [1 ]
机构
[1] Argonne Natl Lab, Nucl Sci & Engn Div, Lemont, IL 60439 USA
[2] Univ Pittsburgh, Mech Engn & Mat Sci Dept, Pittsburgh, PA 15260 USA
关键词
Sodium; Temperature sensors; Coils; Metals; Liquids; Magnetic liquids; Inductors; Advanced nuclear reactor; electromagnetic sensor; liquid lead; liquid sodium; molten metal level; mutual inductance; TEMPERATURE;
D O I
10.1109/TIM.2024.3373049
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This article describes the design and operation of a prototype mutual inductance level sensor (MILS) and the development and validation of a finite-element analysis (FEA) model describing its behavior. The MILS was designed for use in liquid sodium up to temperatures of 650 degree celsius in the Mechanisms Engineering Test Loop (METL) at Argonne National Laboratory (ANL). Preliminary testing was performed in a room temperature test stand with aluminum acting as an analog for the sodium to better understand sensor performance and provide accurate code validation data. This experimental data, along with material properties found in literature, were used to validate an FEA model in ANSYS Maxwell. The validated ANSYS Maxwell model was used to examine the performance of the MILS in various environments and under various operating conditions. Simulations suggest the following: The MILS will perform adequately in liquid sodium and liquid lead at temperatures up to 650 degree celsius . The temperature dependence of electrical conductivity imposes a temperature dependence on the sensor that requires proper compensation. The MILS signal sensitivity is maximized when mutual inductance between sensor coils is maximized, and sensor geometry should be selected to account for this factor. The operating frequency of the MILS can be optimized and is dependent on process fluid material, operating temperature, and materials/geometry of sensor system. Finally, the use of a stainless-steel isolating thimble does not adversely affect the sensor signal. The primary sources of error for this MILS system are the accuracy of the calibration standard against which the sensor is calibrated, and the temperature dependence of the sensor. This work contains all the necessary details to recreate the FEA model and results. This model can be used to optimize the performance of a MILS in any operating environment to read any electrically conductive working fluid.
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页数:10
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