Study on Multi-Scale and Double Fractal Characteristics of Gray Pulse Signals in Gas-Liquid Two-Phase Flow Images
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摘要: 应用高速摄影技术拍取气-液两相流水平管中3种典型流型的动态图像视频,对每一帧图像的平均灰度脉动信号进行提取;将提取的信号进行多尺度固有模态函数分解,然后与极差/标准偏差(R/S)分析方法相结合,提取各尺度的HURST指数和双分形特征。对气-液两相流的3种典型流型进行了气泡群和单个气泡2种形式的动力学行为分析,应用峭度系数提取对分析结果进行验证,并论述了HURST指数值随气相表观速度的变化情况。结果表明:固有模态函数分解(EMD)结合R/S分析能够很好地揭示气-液两相流的非线性动力学特征。Abstract: Dynamic image videos of three typical flow patterns have been taken by a high speed camera in the horizontal tube of the gas-liquid two-phase flow.The average gray scale of each frame of the pulse signals is extracted,which decomposed by the multi-scale intrinsic mode function.Combined with R/S analysis method,the HURST exponent of each scale and double fractal characteristics is extracted.Two forms of the dynamic behavior of the bubbles and the single bubble are analyzed,which belong to the three typical gas-liquid two-phase flow patterns.The results are checked by extracting the kurtosis coefficient,and the variation of HURST exponent with the increase of the gas apparent velocity is discussed.The results show that the EMD decomposition combined with the R/S analysis can commendably reveal the nonlinear kinetic characteristics of gas-liquid two-phase flow.
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Key words:
- Gas-liquid two-phase flow /
- Gray image /
- EMD /
- HURST exponent /
- Kurtosis /
- PSD
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