2018
DOI: 10.1016/j.ijmultiphaseflow.2018.01.009
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Experimental and numerical evaluation of slugs in a vertical air–water flow

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Cited by 17 publications
(8 citation statements)
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“…However, it has been observed that the effect of gas superficial velocity on Taylor bubbles length is far stronger than liquid slug length [13]. According to Jaeger et al [40], slug frequency, the number of slug units passing through a certain location per time unit, is not significantly affected by gas superficial velocity. But, liquid superficial velocity has an strong impact on this parameter.…”
Section: Slug Regime 221 Phase Distribution In Axial Directionmentioning
confidence: 99%
“…However, it has been observed that the effect of gas superficial velocity on Taylor bubbles length is far stronger than liquid slug length [13]. According to Jaeger et al [40], slug frequency, the number of slug units passing through a certain location per time unit, is not significantly affected by gas superficial velocity. But, liquid superficial velocity has an strong impact on this parameter.…”
Section: Slug Regime 221 Phase Distribution In Axial Directionmentioning
confidence: 99%
“…Employing mathematical models assessed by Jaeger [7], the Volume of Fluid (VOF) method was used to model the two-phase flow phenomenon and capture its timedependent behavior. The following equations (1,2) describe mass and momentum conservation:…”
Section: Mathematical Modelingmentioning
confidence: 99%
“…3Several discretization methods were available to solve this equation. However, Geometric Reconstruction (Geo-reconstruction) achieved great results [7] and it was applied as a scheme to represent the area of interaction between fluids with high precision. This scheme indicates the position of the interface in one element, converting the gas-liquid interface into a straight line.…”
Section: Mathematical Modelingmentioning
confidence: 99%
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“…The Volume of Fluid (VOF) was set as the multiphase model, while the closure of turbulence was achieved by utilising the Realizable k-ε turbulence model. The latter was employed based on its satisfactorily performance that in the meanwhile requires less computing power in comparison with other available turbulence models such as the Standard kω and the SST k-ω models constituting therefore a common practice according to literature [27,28], and due to the findings reported that the choice of the turbulence model affects less the accurate results in terms of predicting the phases' redistribution [29]. Concerning the discretization schemes, the Body Force Weighted scheme was used for the pressure discretization and the Compressive scheme for the volume of fluid, while the Second Order Upwind scheme was utilised for the remaining variables.…”
Section: Computational Modelmentioning
confidence: 99%