School of Engineering, University of Guelph, Guelph, ON N1G2W1, Canada.
Faculty of Engineering, McMaster University, Hamilton, ON L8S4L7, Canada.
Sensors (Basel). 2020 Apr 8;20(7):2088. doi: 10.3390/s20072088.
Evaluating the two-phase flow parameters across tube bundles is crucial to the analysis of vibration excitation mechanisms. These parameters include the temporal and local variation of void fraction and phase redistribution. Understanding these two-phase parameters is essential to evaluating the stability threshold of tube bundle configurations. In this work, capacitance sensor probes were designed using finite element analysis to ensure high sensor sensitivity and optimum response. A simulation-based approach was used to calibrate and increase the accuracy of the void fraction measurement. The simulation results were used to scale the normalized capacitance and minimize the sensor uncertainty to ±5%. The sensor and required conditioning circuits were fabricated and tested for measuring the instantaneous void fraction in a horizontal triangular tube bundle array under both static and dynamic two-phase flow conditions. The static calibration of the sensor was able to reduce the uncertainty to ±3% while the sensor conditioning circuit was able to capture instantaneous void fraction signals with frequencies up to 2.5 kHz.
评估管束内的两相流参数对于振动激励机制的分析至关重要。这些参数包括空隙率的时间和局部变化以及相再分配。理解这些两相参数对于评估管束结构的稳定性阈值至关重要。在这项工作中，使用有限元分析设计了电容传感器探头，以确保高传感器灵敏度和最佳响应。使用基于模拟的方法对空隙率测量进行校准和提高精度。使用模拟结果对归一化电容进行缩放，并将传感器不确定性最小化至±5%。制造并测试了传感器和所需的调理电路，以测量水平三角形管束阵列在静态和动态两相流条件下的瞬时空隙率。传感器的静态校准能够将不确定性降低至±3%，而传感器调理电路能够捕获频率高达 2.5 kHz 的瞬时空隙率信号。
