基于EEMD-Hilbert谱的气液两相流钝体绕流流型识别
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中南大学能源科学与工程学院长沙410083

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TK31TH81

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国家自然科学基金(51576213)、湖南省科技计划(2015RS4015)项目资助


Flow regime identification of gas liquid two phase flow with flow around bluffbody based on EEMD Hilbert spectrum
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School of Energy Science and Engineering, Central South University, Changsha 410083,China

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    摘要:

    为了有效识别气液两相流的流型,以水和空气为实验介质,以涡街流量计为元件诱发钝体绕流,通过管壁差压法获取气液两相流钝体绕流的尾迹波动信号,采用集总经验模态分解对信号进行分解,通过Hilbert变换得到Hilbert边际谱,利用最大互相关系数法对固有模态函数进行筛选,选取特征固有模态函数能量比分别与体积含气率、两相雷诺数构建流型图。结果表明,构建的两类新流型图对单相水、泡状流、塞状流、弹状流等典型流型的识别率分别可达91.67%和88.89%,能较好地满足工程实际应用的需求。

    Abstract:

    In order to identify the flow regime of gasliquid twophase flow effectively, air and water are taken as the experiment media and a vortex flowmeter is employed as component to induce the flow around bluffbody. The ductwall differential pressure method is adopted to acquire the wake fluctuation signals of the flow around bluffbody in the gasliquid twophase flow. The signals are decomposed with the ensemble empirical mode decomposition, and then the Hilbert marginal spectrum is obtained with Hilbert transform. The maximum crosscorrelation coefficient method is used to sift the characteristic intrinsic mode functions. The energy ratios of the characteristic intrinsic mode functions are selected, and used to construct the flowpattern maps together with the volumetric void fraction and the twophase Reynolds number respectively. The results show that the two newly constructed flowpattern maps can successfully identify the typical flow patterns such as singlephase water, bubble flow, plug flow and slug flow with the recognition rate up to 91.67% and 88.89% respectively, which can meet the needs of most practical engineering applications nicely.

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陈露阳,尹佳雯,孙志强,姚凤艳,周天.基于EEMD-Hilbert谱的气液两相流钝体绕流流型识别[J].仪器仪表学报,2017,38(10):2536-2546

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  • 在线发布日期: 2017-11-15
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