Classification of gas-liquid flow patterns by the norm entropy of wavelet decomposed pressure fluctuations across a bluff body
Classification of gas-liquid flow patterns by the norm entropy of wavelet decomposed pressure fluctuations across a bluff body
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通过钝体上小波分解压力脉动的范数熵对气液流动模式进行分类
DOI：
10.1088/0957-0233/23/12/125301
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发表时间：
2012-12-01
影响因子：
2.4
通讯作者：
Gong, Hui
中科院分区：
文献类型：
--
作者：
Sun, Zhiqiang;Chen, Yanping;Gong, Hui
气液两相流流型的识别是多相流计量中的一个重要问题。对气液两相流系统的流型不了解，就很难实现对系统参数的精确测量和控制。在这里，我们探讨的表征气液两相流的流型使用的范数熵提取的小波分解的压力波动通过海崖体。在常温常压下，对气液两相流进行了泡状、塞状、弹状和环状流型的实验研究。在实验结果的基础上，构建了两个原始流型图：一个是平均范数熵与总质量流量的关系图，另一个是平均范数熵与体积含气率的关系图。验证测试表明，所开发的流型图的总体识别率超过95%。该方法为气液两相流流型的分类提供了一种简单有效的方法。
Identification of gas-liquid flow patterns remains one of the paramount needs in multiphase flow metering. It is hardly possible to realize accurate measurement and control of parameters in a gas-liquid flow system without a clear understanding of its flow pattern. Here we explore the characterization of gas-liquid flow patterns using the norm entropy extracted from the wavelet decomposed pressure fluctuations across a bluff body. Experiments on air-water two-phase flow at ambient temperature and atmospheric pressure are carried out in the bubble, plug, slug and annular flow patterns. On the basis of the experimental results, two original flow-pattern maps are constructed: one is coordinated with the average norm entropy versus the total mass flow rate, and the other is the average norm entropy versus the volumetric void fraction. Verification tests demonstrate that the overall identification rates of the flow-pattern maps developed exceed 95%. This approach provides an effective and simple solution to the classification of gas-liquid flow patterns.