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Improving EIT-Based Visualizations of Two-Phase Flows Using an Eigenvalue Correlation Method
IEEE Transactions on Instrumentation and Measurement ( IF 5.6 ) Pub Date : 2021-02-03 , DOI: 10.1109/tim.2021.3056736
Chunhui Dang , Mathieu Darnajou , Cedric Bellis , Guillaume Ricciardi , Saba Mylvaganam , Salah Bourennane

Gas–liquid two-phase flows are encountered in various industrial processes involving high temperatures and high pressures, which necessitates nonintrusive sensing for real-time imaging of phase distribution and flow parameters. In this context, this article presents an electrical impedance tomography (EIT)-based eigenvalue correlation method that allows extracting two-phase flow features, namely, the void fraction and the flow regime, which are used in turn to improve flow visualizations. Benefiting from the so-called full-scan excitation strategy, the eigenvalue correlation method has been devised in to estimate the phase fraction from EIT raw measurements. In this article, this method is refined and integrated into an image-enhancing procedure, which is illustrated and validated using dynamic experimental data. A total of 80 experiments are considered with water and air mass flow rates ranging from 1.58 to 79.43 kg/min and from 0.1 to 5.0 kg/min, respectively, covering slug, plug, stratified smooth, stratified wavy, and annular flows. Based on a preliminary system calibration and a raw image guess, the volume-averaged void fractions are then estimated using the proposed method and integrated into EIT-based images to form binarized tomograms relative to the acquisition time. The EIT tomograms, thus, obtained show an excellent agreement with some $\gamma $ -ray reference measurements of the phase distribution.

中文翻译:

使用特征值相关方法改善基于EIT的两相流可视化

在涉及高温和高压的各种工业过程中会遇到气液两相流,因此必须进行非侵入式传感,才能对相分布和流量参数进行实时成像。在这种情况下,本文提出了一种基于电阻抗层析成像(EIT)的特征值相关方法,该方法可以提取两相流动特征,即空隙率和流动状态,进而改善流动的可视化效果。得益于所谓的全扫描激励策略,本征值相关方法已被设计用来从EIT原始测量值估计相位分数。在本文中,此方法经过了改进,并集成到图像增强过程中,该过程使用动态实验数据进行了说明和验证。总共考虑了80个实验,水和空气的质量流量分别为1.58至79.43 kg / min和0.1至5.0 kg / min,涵盖了塞流,塞流,分层平滑,分层波浪形和环形流。基于初步的系统校准和原始图像猜测,然后使用提出的方法估算体积平均的空隙率,并将其集成到基于EIT的图像中,以形成相对于采集时间的二值化X线断层图。因此,获得的EIT断层图与某些图像具有很好的一致性。然后使用提出的方法估算体积平均的空隙率,并将其集成到基于EIT的图像中,以形成相对于采集时间的二值化X线断层图。因此,获得的EIT断层图与某些图像具有很好的一致性。然后使用提出的方法估算体积平均的空隙率,并将其集成到基于EIT的图像中,以形成相对于采集时间的二值化X线断层图。因此,获得的EIT断层图与某些图像具有很好的一致性。 $ \伽马$ -射线参考测量的相位分布。
更新日期:2021-03-05
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