Numerical Validation of Two-Phase Slug Flow and its Liquid Holdup Correlation in Horizontal Pipeline

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

doi:10.4028/www.scientific.net/kem.740.173

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…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%

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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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Section: Unsteady Term Convection Term Diffusion Termmentioning

confidence: 99%

“…Typically, slug body length, L b can be computed using the multiplication of mixture velocity, U s of the fluids with the times taken for the slug nose, t n and tail, t t to pass through a reference line, as shown in Equation (16). Simulation work in Ref.…”

Section: Slug Body Length To Diameter Ratiomentioning

confidence: 99%

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

et al. 2021

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“…Multiple fluid CFD simulation have proved to provide with reliable results, as shown in [6] for air-water pair, or in [7] for oil-gasoil vapor pair. Moreover, CFD studies considering LLE-helium pair are appearing in the latest years, as is the case of [8] where an in-vessel break in the Chinese DFLL test blanket module design is simulated.…”

Section: Introductionmentioning

confidence: 99%

Development of flow regime maps for lead lithium eutectic–helium flows

Valls

Cegielski

Jaros

et al. 2020

Fusion Engineering and Design

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Effect of Changing Crude Oil Grade on Slug Characteristics and Flow Induced Mechanical Stresses in Pipes

2021

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Slug multiphase flow is known to be the most prevalent regime because of its extensive encounters associated with chaotic behaviour, complexity and instability that cause significant fluctuations in operating conditions and thus lead to undesirable effects. In this study, the effect of varying crude oil grades on slug characteristics is numerically investigated. A partitioned one-way coupling framework of fluid–structure interaction (FSI) one-way coupling framework is adopted to investigate the influence of changing oil grades and slug characteristics on the maximum induced stresses in horizontal carbon steel pipe. It was found that increasing crude oil density causes frequent slugging and promotes the formation of liquid slugs further upstream near the inlet with high translational velocity and short wavelength. Therefore, the maximum induced stresses resulting from the interaction between slugs and the inner surface of pipes are strongly dependent on crude oil grade. In modelling extra heavy crude oil, a 40% increase in maximum induced stresses is recorded when the liquid superficial velocity decreases from 1 to 0.86 m/s at a constant natural gas superficial velocity.

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Numerical Validation of Two-Phase Slug Flow and its Liquid Holdup Correlation in Horizontal Pipeline

Cited by 3 publications

References 23 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™

Development of flow regime maps for lead lithium eutectic–helium flows

Effect of Changing Crude Oil Grade on Slug Characteristics and Flow Induced Mechanical Stresses in Pipes

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