2018
DOI: 10.1016/j.flowmeasinst.2018.05.001
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Vertical annular flow pattern characterisation using proper orthogonal decomposition of Electrical Impedance Tomography

Abstract: This is a repository copy of Vertical annular flow pattern characterisation using proper orthogonal decomposition of Electrical Impedance Tomography.

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Cited by 8 publications
(4 citation statements)
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“…ε is the noise tolerance, which satisfies the signal decomposition fidelity requirement, and the iteration ends when the equation satisfies equation (10).…”
Section: L({umentioning
confidence: 99%
See 1 more Smart Citation
“…ε is the noise tolerance, which satisfies the signal decomposition fidelity requirement, and the iteration ends when the equation satisfies equation (10).…”
Section: L({umentioning
confidence: 99%
“…The liquid film thickness parameter is a key factor in the calculation of the pressure drop, void fraction, and interfacial shear parameters [6][7][8][9]. The interface waves between the liquid film and the gas core mainly consist of disturbance waves and ripple waves [8][9][10][11][12], which are affected by interfacial shear and liquid inertia forces [3,6]. Owing to the increase in the gas core density induced by entrainment, the interface shear force increases and the interface wave morphology becomes more complex, which makes it difficult to effectively predict the liquid film thickness.…”
Section: Introductionmentioning
confidence: 99%
“…Wang et al [85] employed a conductance probe with adjustable insertion depth to measure the film thickness in 2018, and the measurement error was less than 1%. Polansky and Wang [86] applied POD (Proper Orthogonal Decomposition) on a large number of tomograms for the identification of flow patterns in a gas-liquid annular flow. The images were obtained using electrical impedance tomography via a series of electrodes mounted non-intrusively (no induced disturbance to the flow) but invasively (direct contact with the fluid) on the pipe.…”
Section: Conductance Sensormentioning
confidence: 99%
“…For pipeline transport, ERT can obtain qualitative tomograms reflecting flow regimes and quantitative data that include crosssectional profiles of the distribution of materials or velocities in pipes [25,26]. Applications of ERT to gas-liquid two-phase flow in the petrochemical field are more common in published literature [27][28][29]. ERT is also used to measure solid-liquid two-phase flow; however, most experimental studies take the slurry with concentrations of about 5%-35% solid by volume as research objects [30][31][32].…”
Section: Introductionmentioning
confidence: 99%