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Application of Wire Mesh Sensor to Identify Gas-liquid Flow Patterns in a Horizontal Pipe

机译:丝网传感器在水平管中气液流型识别中的应用

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The flow pattern recognition and phase interface imaging are the basis of studying gas-liquid two-phase flow. It can directly reflect the dynamic development process of phase distribution in the flow process, and it is also the basis for theoretical analysis and physical modeling. In order to identify the characteristics of gas-liquid flow patterns by self-developed wire mesh sensor (WMS), the phase concentration imaging analysis of both non-swirling gas-liquid flows and swirling gas-liquid flows induced by a swirler in a 30 mm inner diameter pipeline is carried out and compared with high-speed photography. Tap water and air are used as working fluids. The results indicate that the WMS can reflect the phase concentration distribution of bubble, plug, slug flow, swirling gas column flow and intermittent flow. Especially, the WMS has good imaging ability for large-scale phase interface distribution. To some extent, it can reflect the void fraction characteristics in a pipe, but it cannot reflect the swirling characteristics of swirling gas-liquid flow. The WMS does not have the ability to directly identify the thin liquid film and microbubbles, which needs to be further optimized.
机译:流型识别和相界面成像是研究气液两相流的基础。它可以直接反映流动过程中相分布的动态发展过程,也是理论分析和物理建模的基础。为了通过自行开发的金属丝网传感器(WMS)识别气液流动模式的特征,在30年代由旋流器引起的非旋流气液流和旋流气液流的相浓度成像分析进行内径为mm的管线,并与高速摄影进行比较。自来水和空气用作工作流体。结果表明,WMS可以反映气泡,旋塞,段塞流,旋流气柱流和间歇流的相浓度分布。特别地,WMS具有用于大规模相界面分布的良好成像能力。在某种程度上,它可以反映管道中的空隙率特征,但不能反映出气-液回旋的回旋特性。 WMS不具有直接识别液体薄膜和微气泡的能力,这需要进一步优化。

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