Characterizing the correlations between local phase fractions of gas–liquid two-phase flow with wire-mesh sensor
Characterizing the correlations between local phase fractions of gas–liquid two-phase flow with wire-mesh sensor
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DOI：
10.1098/rsta.2015.0335
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发表时间：
2016-06
期刊：
影响因子：
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通讯作者：
C. Tan;W. Liu;F. Dong
中科院分区：
文献类型：
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作者：
C. Tan;W. Liu;F. Dong
了解两相流流型及其转变对揭示两相流的流动机理具有重要意义。局部相分布及其波动包含了丰富的流动结构信息。采用丝网传感器（wire-mesh sensor，WMS）对水平气液两相流的局部相态波动进行了研究，并将重建的三维流场结构与实验中拍摄的照片进行了对比验证。WMS的每个交叉点被视为一个节点，因此每个节点上的测量是该局部区域中的相分数。通过对各节点在不同流型下的时间序列进行互相关，建立了无向无权流型网络。流型网络的结构揭示了流型转变过程中各节点处的相涨落关系，并通过引入复杂网络的拓扑指数对其进行量化。本文提出的基于WMS的分析方法不仅可以实现气液两相流的三维可视化，而且可以对流型结构和流型转换特性进行深入分析。这篇文章是主题问题“通过工业过程断层扫描的超感知”的一部分。
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’.