Two-phase flow structure in multi-scale complexity entropy causality plane

doi:10.11949/j.issn.0438-1157.20140772

CIESC Journal ›› 2015, Vol. 66 ›› Issue (4): 1301-1309.DOI: 10.11949/j.issn.0438-1157.20140772

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Two-phase flow structure in multi-scale complexity entropy causality plane

FAN Chunling^1,2, JIN Ningde¹, CHEN Xiuting², DOU Fuxiang¹, GAO Zhongke¹

1. School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China;
2. School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266042, Shandong, China

Received:2014-05-15 Revised:2015-01-06 Online:2015-04-05 Published:2015-04-05
Supported by:
supported by the National Natural Science Foundation of China (41174109, 61104148), the National Science and Technology Major Project of the Ministry of Science and Technology of China (2011ZX05020-006) and the Natural Science Foundation of Shandong Province (ZR2012FQ023).

两相流流动结构多尺度复杂熵因果关系平面特征

樊春玲^1,2, 金宁德¹, 陈秀霆², 窦富祥¹, 高忠科¹

1. 天津大学电气与自动化工程学院, 天津 300072;
2. 青岛科技大学自动化与电子工程学院, 山东青岛 266042

通讯作者: 金宁德
作者简介:樊春玲(1975-),女,博士,副教授。
基金资助:
国家自然科学基金项目(41174109,61104148);国家科技重大专项(2011ZX05020-006);山东省自然科学基金项目(ZR2012FQ023)。

Abstract

Abstract:

The flow structure dynamics of gas-liquid two-phase was analyzed with a novel approach, multi-scale complexity entropy causality plane (MS-CECP), derived from the information entropy theory. Firstly, the method was used to investigate typical chaotic time series and then to process the conductance fluctuating signals of three typical gas-liquid flow patterns, i.e., bubble flow, slug flow, and churn flow. The single scale CECP could discriminate the different flow patterns linearly. Furthermore, MS-CECP could describe the continuous information loss of flow structures with the increase of scale, which reflected flow structure stability and complexity of the gas-liquid two-phase flow system. The proposed approach (MS-CECP) was proven to be a useful analysis tool for understanding the nonlinear dynamics of flow structure in two-phase flows.

Key words: gas-liquid two-phase flow, multi-scale, flow structure, stability, complexity entropy causality plane

摘要：

采用一种新的信息熵理论分析了气液两相流流动结构动力学特征。首先考察了典型混沌时间序列的多尺度复杂熵因果关系平面特征,然后将该方法应用于气液两相流3种典型流型(泡状流、段塞流及混状流)的电导传感器波动信号处理,结果表明单尺度复杂熵因果关系平面能够对不同流型线性识别。此外发现多尺度复杂熵因果关系平面能够描述流动结构信息随尺度增加的连续丢失过程,反映了气液两相流流动结构稳定性及复杂性,是理解两相流流动结构非线性动力学特性的一种有用分析工具。

关键词: 气液两相流, 多尺度, 流动结构, 稳定性, 复杂熵因果关系平面

CLC Number:

O359⁺.1

FAN Chunling, JIN Ningde, CHEN Xiuting, DOU Fuxiang, GAO Zhongke. Two-phase flow structure in multi-scale complexity entropy causality plane[J]. CIESC Journal, 2015, 66(4): 1301-1309.

樊春玲, 金宁德, 陈秀霆, 窦富祥, 高忠科. 两相流流动结构多尺度复杂熵因果关系平面特征[J]. 化工学报, 2015, 66(4): 1301-1309.

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Two-phase flow structure in multi-scale complexity entropy causality plane

两相流流动结构多尺度复杂熵因果关系平面特征

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