Numerical validation of gas-liquid slug flow inside horizontal pipe

Pao, William; Nasif, Mohammad Shakir; Norpiah, R.B.M.

doi:10.4314/jfas.v9i5s.46

Cited by 2 publications

(15 citation statements)

References 13 publications

(19 reference statements)

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“…[17] and Ansys ® and STAR-CCM+ results published by Ref. [10], respectively. It should be noted that the works by Refs.…”

Section: Methodology 21 Design Of Simulationsmentioning

confidence: 99%

“…There is a number of researchers investigating slug flow behaviour who performed their analysis by employing k-epsilon model as turbulence equation of choice [10][11][12]. This k-epsilon assumes that the flow is fully turbulent, and the effects of molecular viscosity are negligible [13].…”

Section: Unsteady Term Convection Term Diffusion Termmentioning

confidence: 99%

“…Several researchers who managed to develop slug flow successfully using VOF model include authors in Refs. [4,10,11,[16][17][18][19]. It was reported that the computational time required to solve the VOF equations is relatively low when compared to that of Eulerian-Eulerian and Eulerian-Lagrangian approaches, making VOF to be utilized more broadly in analyzing two-phase flow [10,12,20].…”

Section: Unsteady Term Convection Term Diffusion Termmentioning

confidence: 99%

“…[4,10,11,[16][17][18][19]. It was reported that the computational time required to solve the VOF equations is relatively low when compared to that of Eulerian-Eulerian and Eulerian-Lagrangian approaches, making VOF to be utilized more broadly in analyzing two-phase flow [10,12,20]. So far, there is no literature available that reports on the use of level set approach using Altair ® AcuSolve™ in the development of two-phase slug flow.…”

Section: Unsteady Term Convection Term Diffusion Termmentioning

confidence: 99%

“…Instead of sinusoidal perturbation, Schmelter et al [22] used random perturbation to the interface between liquid and gas phases to avoid premeditating the slug behaviour, especially frequency. The random inlet perturbation can be defined using Equations ( 9) and (10).…”

Section: Unsteady Term Convection Term Diffusion Termmentioning

confidence: 99%

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Effects of Selection of Inlet Perturbations, Multiphase and Turbulence Equations on Slug Flow Characteristics Using Altair® AcuSolve™

et al. 2021

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Selection of inlet perturbations, multiphase equations, and the turbulence equation may affect the development of slug flow using computational fluid dynamic simulation tools. The inlet perturbation, such as sinusoidal and random perturbations, play an essential role in inducing slug formation. Multiphase equations such as volume of fluid and level set methods are used to track and capture the gas-liquid immiscible interface. Similarly, turbulence equations such as Spalart Allmaras (SA), Detached Eddy Simulations (DES), k-omega, and k-epsilon can be used to predict the evolution of turbulence within the flow. At present, no direct comparison is available in the literature on the selection of (i) types of inlet perturbations, (ii) the choice of multiphase equations, and (iii) the turbulence equation on the development of slug flow using the Altair computational package. This article aims to compare the effects of the selection of inlet perturbations, multiphase models and turbulence equations on slug flow characteristics using Altair® AcuSolve™. The findings by Altair® simulation were compared to published experimental data and simulation works using ANSYS and STAR-CCM+. The slug flow characteristics of interest include slug morphology, a body length-to-diameter ratio, velocity, frequency, and pressure gradient. It was found that the slug flow could be developed for all combinations of settings. Although level set approach in Altair® can track fluid motion successfully, it has a limitation in modelling the convective transport of the multiphase mixture well, unlike ANSYS and STAR-CCM+. Compared to the standard level set method, the coupling of back-and-forth error compensation and correction with the level set function helps to capture the internal boundary more accurately by reducing errors caused by numerical diffusion in the transport of the level set. It was revealed that the Spalart Allmaras turbulence equation could mimic published experimental result better than DES as it produced the closest slug translational velocity. Since the frequency of the slugs for the developed models showed a good agreement with the published data, the models could be sufficient for the investigation of fluid-structure interaction.

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“…[17] and Ansys ® and STAR-CCM+ results published by Ref. [10], respectively. It should be noted that the works by Refs.…”

Section: Methodology 21 Design Of Simulationsmentioning

confidence: 99%

Section: Unsteady Term Convection Term Diffusion Termmentioning

confidence: 99%

Section: Unsteady Term Convection Term Diffusion Termmentioning

confidence: 99%

Section: Unsteady Term Convection Term Diffusion Termmentioning

confidence: 99%

Section: Unsteady Term Convection Term Diffusion Termmentioning

confidence: 99%

See 3 more Smart Citations

Effects of Selection of Inlet Perturbations, Multiphase and Turbulence Equations on Slug Flow Characteristics Using Altair® AcuSolve™

et al. 2021

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Simulation of Intermittent Flow Development in a Horizontal Pipe

Nasrfard

Rahimzadeh

Ahmadpour

et al. 2019

Journal of Fluids Engineering

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In this study, detailed three-dimensional (3D) numerical simulations of intermittent multiphase flows were carried out to investigate the slug initiation process and various features of intermittent flows inside a horizontal pipe. Air and water are used as working fluids. The domain used for simulations is a 14.4 m long pipe with 54 mm inner diameter. The volume of fluid (VOF) model was used to capture the air/water interface and its temporal evolution. Using the developed computational fluid dynamics (CFD) model, the slug formation and propagation along horizontal circular pipe were successfully predicted and studied comprehensively. Slug length and the frequency of slug formation, as two main features of intermittent flow, were used to validate the model against experimental results and available correlations in the literature. Three-dimensional numerical simulation of intermittent flow proved to be a powerful tool in tackling limitations of experiments and providing detailed data about various features of the intermittent flow. The effect of gas and liquid superficial velocities on the liquid slug and elongated bubble length was explored. Moreover, the study revealed new findings related to the elongated bubble shape and velocity field in the slug unit.

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Numerical validation of gas-liquid slug flow inside horizontal pipe

Abstract: The transition of one flow regime into another is a very networks, which could be potentially hazardous for

Cited by 2 publications

References 13 publications

Effects of Selection of Inlet Perturbations, Multiphase and Turbulence Equations on Slug Flow Characteristics Using Altair® AcuSolve™

Effects of Selection of Inlet Perturbations, Multiphase and Turbulence Equations on Slug Flow Characteristics Using Altair® AcuSolve™

Simulation of Intermittent Flow Development in a Horizontal Pipe

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