Application of wavelet multi-resolution analysis to pressure fluctuations of gas-solid two-phase flow in a horizontal pipe

被引:53
|
作者
Li, H [1 ]
机构
[1] Kagoshima Univ, Dept Mech Engn, Kagoshima 8900065, Japan
关键词
discrete wavelet transform; gas-solid two-phase flow; probability density function; pressure fluctuation; root mean square pressure; skewness factor; wavelet multi-resolution analysis;
D O I
10.1016/S0032-5910(02)00012-8
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In order to reveal the unsteady features of gas-solid two-phase flow in both Fourier and physical spaces, the wavelet multi-resolution analysis was first employed to analyze the experimental data of the wall pressure-time signal. Then the definitions of the wavelet multi-resolution root mean square (RMS), skewness factor and probability density function (PDF) were developed and were applied to the statistical analysis of gas-solid two-phase flow in the frequency space. From the random-like pressure fluctuations, the fluctuating pressure components due to the dispersed suspension flow and the dune flow can be extracted based on the wavelet multi-resolution analysis over a time-frequency plane. It was found that the larger gas velocity results in the larger RMS pressure component at the higher frequency, while the lower gas velocity results in the larger RMS pressure component at the lower frequency. At a low velocity, the wavelet multi-resolution probability density function shifted to a unimodel from a bimodel distribution when increasing the frequency. In the acceleration region the pressure fluctuation components of the higher frequency deviated from the Gaussian-type fluctuation and resulted in the larger negative convectional skewness factor. (C) 2002 Elsevier Science B.V All rights reserved.
引用
收藏
页码:61 / 73
页数:13
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