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首页> 外文期刊>IEEE sensors journal >Capacitance Sensors for Void-Fraction Measurements and Flow-Pattern Identification in Air–Oil Two-Phase Flow
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Capacitance Sensors for Void-Fraction Measurements and Flow-Pattern Identification in Air–Oil Two-Phase Flow

机译：气-油两相流中用于空隙率测量和流型识别的电容传感器

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摘要

The design methodology of capacitance sensors for void-fraction measurement in adiabatic two-phase flow systems is presented in this paper. The effect of design parameters on the capacitance output has been theoretically and experimentally investigated for two types of sensor configurations: concave and ring types. Experiments were performed using air–oil two-phase flow to determine the signal-to-noise ratio, sensitivity, and time response of the capacitance sensors. The results show that the ring-type sensors are more sensitive to the void-fraction signal than the concave type for the same spatial resolution. The predictions from the theoretical model for the ring-type sensors are in better agreement with the experimental results than for the concave type. The mean value, time trace, power spectral density (PSD), and the probability density function (PDF) of the void-fraction signal from the capacitance sensors are used to objectively identify the flow pattern. The method was validated using high-speed video images of the flow and comparing the results to those from the signal analysis.
机译：提出了一种用于绝热两相流系统中空隙率测量的电容传感器的设计方法。对于两种类型的传感器配置（凹形和环形），已经在理论和实验上研究了设计参数对电容输出的影响。使用气-油两相流进行实验以确定电容传感器的信噪比，灵敏度和时间响应。结果表明，在相同的空间分辨率下，环形传感器比凹形传感器对空隙分数信号更敏感。与凹形传感器相比，环形传感器的理论模型预测与实验结果更加吻合。来自电容传感器的空隙率信号的平均值，时间轨迹，功率谱密度（PSD）和概率密度函数（PDF）用于客观地识别流型。该方法已使用流动的高速视频图像进行了验证，并将结果与​​信号分析的结果进行了比较。

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