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。
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.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2017年第10期2536-2546,共11页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(51576213)
湖南省科技计划(2015RS4015)项目资助
关键词
气液两相流
钝体绕流
流型识别
集总经验模态分解
HILBERT变换
gas-liquid two-phase flow
flow around bluff-body
flow regime identification
ensemble empirical mode decomposition
Hilbert transform
