Hydrodynamic Modeling of Oil–Water Stratified Smooth Two-Phase Turbulent Flow in Horizontal Circular Pipes

Kang, Qi; Gu, Jingjing; Qi, Xueyu; Wu, Ting; Wang, Shengjie; Chen, Sihang; Wang, Wei; Gong, Junbo

doi:10.3390/en14165201

Cited by 2 publications

(1 citation statement)

References 43 publications

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“…Numerical simulation has significant advantages in cross-sectional distribution [21], flow pattern transition [22], pressure distribution and velocity profile [23]. In harsh experimental environments, numerical simulation can efficiently and accurately preliminarily judge the flow trend of multiphase flow.…”

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confidence: 99%

Study on gas velocity distribution of gas-liquid stratified flow based on numerical simulation and PIV

Liu,

Zhao,

Han

et al. 2023

Preprint

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The velocity is an important parameter for the fluid flow characteristics in the two-phase flow. In the gas-liquid two-phase stratified flow, the most easily obvious force equilibrium point is at the peak point of the gas phase velocity. This study is of great significance for constructing the two-phase stratified flow model. In this paper, the flow field characteristics of the gas-liquid stratified flow are investigated by numerical simulation and a theoretical model of the gas phase peak velocity position is established. The accuracy of numerical simulation is illustrated by comparing classical prediction model and PIV experimental data. The results indicate that the position of gas-liquid interface moves down and the position of gas phase peak velocity moves up with an increase in gas mass flow rate. Conversely, when gas phase mass flow rate is constant, the position of gas-liquid interface moves up and the position of gas phase peak velocity moves down with an increase in liquid mass flow rate. By exploring the relationship between the position of the peak gas velocity point and ratio of the Reynolds number, it is found that the position of the gas peak velocity has a linear relationship with the gas-liquid Reynolds number. The multiple correlation coefficient is 0.85, obtained by linear regression fitting which stated that there is a strong linear relationship between the two variables.

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confidence: 99%

Study on gas velocity distribution of gas-liquid stratified flow based on numerical simulation and PIV

Liu,

Zhao,

Han

et al. 2023

Preprint

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Modeling of Oil–Water Two-Phase Flow in Horizontal Pipes Using CFD for the Prediction of Flow Patterns

González-Estrada,

Hernández,

González-Silva

2024

Eng

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A computational fluid dynamics study of the horizontal oil–water flow was performed using the Eulerian–Eulerian and mixture multiphase models in conjunction with the realizable k–ε turbulence model for the characterization of flow patterns. The experimental tests were carried out using water and mineral oil with a density of 880 kg/m3 and a viscosity of 180 cP, varying the superficial velocities of both fluids in ranges of 0.1–1.2 m/s and 0.1–0.5 m/s, respectively. The numerical model was defined under the same initial and boundary conditions as in the experiment. Moreover, the model is defined such that entering the fluids in a mixed state, the stratified pattern could form adequately with the two multiphase models. Although the Eulerian–Eulerian model, together with the geometric reconstruction scheme, allowed us to visualize the three-dimensional dispersed patterns in a very similar way to the experimental results, the mixture model did not exhibit such similarity, especially in the oil-in-water dispersions. Additionally, the Eulerian–Eulerian model was able to predict the experimental holdup values with an average error of 15.2%.

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Hydrodynamic Modeling of Oil–Water Stratified Smooth Two-Phase Turbulent Flow in Horizontal Circular Pipes

Cited by 2 publications

References 43 publications

Study on gas velocity distribution of gas-liquid stratified flow based on numerical simulation and PIV

Study on gas velocity distribution of gas-liquid stratified flow based on numerical simulation and PIV

Modeling of Oil–Water Two-Phase Flow in Horizontal Pipes Using CFD for the Prediction of Flow Patterns

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