title: Characterizing the correlations between local phase fractions of gas-liquid two-phase flow with wire-mesh sensor.
abstract: Understanding of flow patterns and their transitions is significant to uncover the flow mechanics of two-phase flow. The local phase distribution and its fluctuations contain rich information regarding the flow structures. A wire-mesh sensor (WMS) was used to study the local phase fluctuations of horizontal gas-liquid two-phase flow, which was verified through comparing the reconstructed three-dimensional flow structure with photographs taken during the experiments. Each crossing point of the WMS is treated as a node, so the measurement on each node is the phase fraction in this local area. An undirected and unweighted flow pattern network was established based on connections that are formed by cross-correlating the time series of each node under different flow patterns. The structure of the flow pattern network reveals the relationship of the phase fluctuations at each node during flow pattern transition, which is then quantified by introducing the topological index of the complex network. The proposed analysis method using the WMS not only provides three-dimensional visualizations of the gas-liquid two-phase flow, but is also a thorough analysis for the structure of flow patterns and the characteristics of flow pattern transition. This article is part of the themed issue 'Supersensing through industrial process tomography'.
authors.affiliation: Tianjin Key Laboratory of Process Measurement and Control, School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, People's Republic of China fdong@tju.edu.cn.
authors.forename: C
authors.identifier: http://orcid.org/0000-0001-5146-4807
authors.initials: C
authors.lastname: Tan
authors.affiliation: Tianjin Key Laboratory of Process Measurement and Control, School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, People's Republic of China.
authors.forename: W L
authors.initials: WL
authors.lastname: Liu
authors.affiliation: Tianjin Key Laboratory of Process Measurement and Control, School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, People's Republic of China.
authors.forename: F
authors.initials: F
authors.lastname: Dong
keywords: flow pattern; gas–liquid two-phase flow; multivariate time-series analysis; network analysis; wire-mesh sensor