Multi-scale Chaotic Analysis of the Characteristics of Gas-Liquid Two-phase Flow Patterns

李洪伟; 周云龙; 孙斌; 杨悦

doi:10.1016/S1004-9541(09)60143-9

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Multi-scale Chaotic Analysis of the Characteristics of Gas-Liquid Two-phase Flow Patterns

Updated：2026-01-06

- Multi-scale Chaotic Analysis of the Characteristics of Gas-Liquid Two-phase Flow Patterns
- Multi-scale Chaotic Analysis of the Characteristics of Gas-Liquid Two-phase Flow Patterns
- 中国化学工程学报（英文版） 2010年18卷第5期页码：880-888
- Affiliations：
  
  1. North China Electric Power University,Beijing,China,102206
  2. Northeast Dianli University,Jilin,China,132012
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (50976018);the Natural Science Foundation of JilinProvince (20101562)
- DOI：10.1016/S1004-9541(09)60143-9
  中图分类号：
- 纸质出版：2010
- Accepted：
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李洪伟, 周云龙, 孙斌, 等. Multi-scale Chaotic Analysis of the Characteristics of Gas-Liquid Two-phase Flow Patterns[J]. 中国化学工程学报（英文版）, 2010,18(5):880-888.

LI Hongwei, ZHOU Yunlong, SUN Bin, YANG Yue. Multi-scale Chaotic Analysis of the Characteristics of Gas-Liquid Two-phase Flow Patterns[J]. , 2010, 18(5): 880-888.
李洪伟, 周云龙, 孙斌, 等. Multi-scale Chaotic Analysis of the Characteristics of Gas-Liquid Two-phase Flow Patterns[J]. 中国化学工程学报（英文版）, 2010,18(5):880-888. DOI： 10.1016/S1004-9541(09)60143-9.

LI Hongwei, ZHOU Yunlong, SUN Bin, YANG Yue. Multi-scale Chaotic Analysis of the Characteristics of Gas-Liquid Two-phase Flow Patterns[J]. , 2010, 18(5): 880-888. DOI： 10.1016/S1004-9541(09)60143-9.

摘要

Abstract

Using the high-speed camera the time sequences of the classical flow patterns of horizontal gas-liquid pipe flow are recorded

from which the average gray-scale values of single-frame images are extracted. Thus obtained gray-scale time series is decomposed by the Empirical Mode Decomposition (EMD) method

the various scales of the signals are processed by Hurst exponent method

and then the dual-fractal characteristics are obtained. The scattered bubble and the bubble cluster theories are applied to the evolution analysis of two-phase flow patterns. At the same time the various signals are checked in the chaotic recursion chart by which the two typical characteristics (diagonal average length and Shannon entropy) are obtained. Resulting term of these properties

the dynamic characteristics of gas-liquid two-phase flow patterns are quantitatively analyzed. The results show that the evolution paths of gas-liquid two-phase flow patterns can be well characterized by the integrated analysis on the basis of the gray-scale time series of flowing images from EMD

Hurst exponents and Recurrence Plot (RP). In the middle frequency section (2nd

3rd

4th scales)

three flow patterns decomposed by the EMD exhibit dual fractal characteristics which represent the dynamic features of bubble cluster

single bubble

slug bubble and scattered bubble. According to the change of diagonal average lengths and recursive Shannon entropy characteristic value

the structure deterministic of the slug flow is better than the other two patterns. After the decomposition by EMD the slug flow and the mist flow in the high frequency section have obvious peaks. Anyway

it is an effective way to understand and characterize the dynamic characteristics of two-phase flow patterns using the multi-scale non-linear analysis method based on image gray-scale fluctuation signals.

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