基于小波包分析的气举泵气液两相流效率特征研究

RESEARCH ON THE EFFICIENCY CHARACTERISTICS OF GAS-LIQUID TWO-PHASE FLOW IN AIRLIFT PUMPS BASED ON WAVELET PACKET ANALYSIS

  • 摘要: 本研究的目的是利用实验获得的压力信号来识别气举泵是否处在效率最高点。通过在提升管的不同部位进行压力测量,收集了多个传感器的数据,涵盖不同流型下的气液两相流特性。采用功率谱密度函数(power spectral density, PSD)和小波包分解(wavelet packet decomposition, WPD)对压力信号进行分析,以揭示气举泵效率与流型变化之间的关系。结果表明,在弹状流期间,位于管道中部的传感器在0~32 Hz频段的能量占比达到峰值且奇异谱熵达到低谷值时,表明气液相互作用处于最优状态,泵的效率达到了最大值。通过实验验证,压力信号的特征可以有效判断当前气体表观流速下气举泵是否处于效率最高点。本研究为基于压力信号的气举泵效率监测提供了新的思路和方法,具有较强的实际应用价值。

     

    Abstract: The aim of this study is to use experimental pressure signals to identify whether the airlift pump is operating at its efficiency peak. Pressure measurements were taken at different locations along the riser pipe, collecting data from multiple sensors that cover the characteristics of gas-liquid two-phase flow in various flow pattern. Power spectral density (PSD) and wavelet packet decomposition (WPD) were used to analyze the pressure signals and reveal the relationship between airlift pump efficiency and flow regime changes. The results show that during the slug flow regime, when the sensor located in the middle of the pipe exhibits a peak in the 0-32 Hz frequency range and the singular entropy reaches a valley, it indicates that the gas-liquid interaction is in an optimal state, and the pump's efficiency is at its maximum. Experimental validation confirms that the characteristics of the pressure signal can effectively determine whether the airlift pump is at its efficiency peak under the current gas superficial velocity. This study provides new ideas and methods for monitoring airlift pump efficiency based on pressure signals, offering significant practical value.

     

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