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Gas-Liquid Two Phase Flow Pattern Evolution Characteristics Based on Detrended Fluctuation Analysis

机译:基于去趋势波动分析的气液两相流型演化特征

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摘要

In this paper, we first extract a nonlinear time series from the Welerestrass function as a toy model and investigate the anti-noise ability of six different fractal scale algorithm. The results indicate that the fractal scales calculated from Detrended Fluctuation Analysis (DFA) are robust with respect to variation in noise level, Based on the conductance fluctuating signals measured from vertical gas-liquid two phase flow experiment, we calculate the fractal scales of five typical flow patterns. The results show that when the water superficial velocity ranging from 0.0453ms~(-1) to 0.226 ms~(-1) and the gas superficial velocity ranging from 0.0043ms~(-1) to 3.43 ms~(-1), the values of the fractal scale of bubble flow are lowest corresponding to the random complex dynamic behavior, while the values of slug flow are highest corresponding to the alternatively periodic motions between gas slug and liquid slug, and the values of churn flow lies between them indicating the relatively complex dynamic behavior. Our main result is that the fractal scales obtained from conductance fluctuating signals can not only effectively characterize the dynamic characteristics of gas-liquid two phase flow patterns, but also further provide valuable reference for understanding the transitions of different gas-liquid two phase flow patterns.
机译:在本文中,我们首先从Welerestrass函数中提取了一个非线性时间序列作为玩具模型,并研究了六种不同分形标度算法的抗噪能力。结果表明,去趋势波动分析法(DFA)计算得到的分形标度在噪声水平变化方面具有较强的鲁棒性。基于垂直气液两相流实验测得的电导波动信号,我们计算了五个典型分形标度。流模式。结果表明,当水的表面速度为0.0453ms〜(-1)至0.226ms〜(-1),气体的表面速度为0.0043ms〜(-1)至3.43ms〜(-1)时,气泡流的分形标度值最低,对应于随机复杂的动态行为,而气泡流的分形标度值最高,对应于气体和液体之间的交替周期性运动,搅拌流的值介于两者之间,表明相对复杂的动态行为。我们的主要结果是,从电导波动信号获得的分形标度不仅可以有效地表征气液两相流型的动力学特征,而且还可以为理解不同气液两相流型的转变提供有价值的参考。

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