Fibre optic sensor system for void fraction measurement in aqueous two-phase fluids

Berthold, John W.; Reed, S.E.; Nash, C. A.

doi:10.1016/0955-5986(94)90003-5

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…Tutu et al (1984b) used a weighting method, which works with a zero net water flow only and is suited to the measurement of an average saturation. Radiation methods -infra-red (Berhold et al, 1994), X-ray (Geffen and Gladfelter, 1952), b-ray (Zirnig, 1978), c-ray (Yano, 1984)-were also used. They often allow for the measurement of local saturation within the porous medium, but they require heavy facilities and safety procedures.…”

Section: Void Fraction Measurement For Two-phase Flow Through Porous Mediamentioning

confidence: 99%

Pressure drop and average void fraction measurements for two-phase flow through highly permeable porous media

Chikhi

Clavier

Laurent

et al. 2016

Annals of Nuclear Energy

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Section: Void Fraction Measurement For Two-phase Flow Through Porous Mediamentioning

confidence: 99%

Pressure drop and average void fraction measurements for two-phase flow through highly permeable porous media

Chikhi

Clavier

Laurent

et al. 2016

Annals of Nuclear Energy

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“…The severity of attenuation of the emitted light, due to scattering, refraction and absorption, is then a function of the two-phase flow regime. This principle makes the optical sensor provide a direct response to changes in flow regime [8].…”

Section: Introductionmentioning

confidence: 99%

Flow Regime Identification in Vertical Upward Gas–Liquid Flow Using an Optical Sensor With Linear and Quadratic Discriminant Analysis

Sarkodie

Fergusson-Rees

2020

Journal of Fluids Engineering

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The accurate identification of gas–liquid flow regimes in pipes remains a challenge for the chemical process industries. This paper proposes a method for flow regime identification that combines responses from a nonintrusive optical sensor with linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) for vertical upward gas–liquid flow of air and water. A total of 165 flow conditions make up the dataset, collected from an experimental air–water flow loop with a transparent test section (TS) of 27.3 mm inner diameter and 5 m length. Selected features extracted from the sensor response are categorized into feature group 1, average sensor response and standard deviation, and feature group 2 that also includes percentage counts of the calibrated responses for water and air. The selected features are used to train, cross validate, and test four model cases (LDA1, LDA2, QDA1, and QDA2). The LDA models produce higher average test classification accuracies (both 95%) than the QDA models (80% QDA1 and 45% QDA2) due to misclassification associated with the slug and churn flow regimes. Results suggest that the LDA1 model case is the most stable with the lowest average performance loss and is therefore considered superior for flow regime identification. In future studies, a larger dataset may improve stability and accuracy of the QDA models, and an extension of the conditions and parameters would be a useful test of applicability.

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“…There have been many contributions to develop techniques to measure the void fraction. Physical responses of two-phase flows to radiation (Kendoush 1992), ultrasound (Xu andXu 1998, Chakraborty et al 2009), optical (Berthold et al 1994 and electrical (Andreussi et al 1988, Elkow andRezkallah 1996) inputs have been used for void fraction measurement since the attenuation of the input signals or the impedance for traveling waves depends on the void fraction.…”

Section: Introductionmentioning

confidence: 99%

An approximate formula for the capacitance–void fraction relationship for annular flows

Kim

Lee

Kim

et al. 2009

Meas. Sci. Technol.

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A capacitance method is applied to measure the space-averaged void fraction in concentric annular flows. From the analytical solution of the governing electrical field equations, the expression for the capacitance in terms of a given void fraction is derived. Also, a closed form formula to predict the void fraction from the capacitance measurement is proposed. The relationship between the capacitance and the void fraction is successfully compared with static phantom experiments.

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Fibre optic sensor system for void fraction measurement in aqueous two-phase fluids

Cited by 9 publications

References 12 publications

Pressure drop and average void fraction measurements for two-phase flow through highly permeable porous media

Pressure drop and average void fraction measurements for two-phase flow through highly permeable porous media

Flow Regime Identification in Vertical Upward Gas–Liquid Flow Using an Optical Sensor With Linear and Quadratic Discriminant Analysis

An approximate formula for the capacitance–void fraction relationship for annular flows

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