Modeling of laminar-turbulent stratified liquid–liquid flow with entrainment

Bochio, Gustavo; Rodriguez, Oscar Maurício Hernandez

doi:10.1016/j.ijmultiphaseflow.2022.104122

Cited by 7 publications

(2 citation statements)

References 27 publications

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“…For all these reasons, the oil-water stratified flow has gathered the attention of many researchers. Several investigations have been performed employing different analytical, experimental, and numerical techniques (Bannwart 2001;Deike et al 2014;Li et al 2021;Kim and Choi 2018;Barmak et al 2016;Bochio and Rodriguez 2022), as well as targeting different flow configurations, from pipe/channel flows to more environmentaloriented setups. Experimental techniques often represent an important tool to investigate the physics of turbulent flows, but also to validate analytical or simplified mathematical models.…”

Section: Introductionmentioning

confidence: 99%

Turbulence and Interface Waves in Stratified Oil–Water Channel Flow at Large Viscosity Ratio

Giamagas,

Zonta,

Roccon

et al. 2023

Flow Turbulence Combust

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We investigate the dynamics of turbulence and interfacial waves in an oil–water channel flow. We consider a stratified configuration, in which a thin layer of oil flows on top of a thick layer of water. The oil–water interface that separates the two layers mutually interacts with the surrounding flow field, and is characterized by the formation and propagation of interfacial waves. We perform direct numerical simulation of the Navier-Stokes equations coupled with a phase field method to describe the interface dynamics. For a given shear Reynolds number, $$Re_\tau =300$$ R e τ = 300 , and Weber number, $$We=0.5$$ W e = 0.5 , we consider three different types of oils, characterized by different viscosities, and thus different oil-to-water viscosity ratios $$\mu _r=\mu _o/\mu _w$$ μ r = μ o / μ w (being $$\mu _o$$ μ o and $$\mu _w$$ μ w oil and water viscosities). Starting from a matched viscosity case, $$\mu _r=1$$ μ r = 1 , we increase the oil-to-water viscosity ratio up to $$\mu _r=100$$ μ r = 100 . By increasing $$\mu _r$$ μ r , we observe significant changes both in turbulence and in the dynamics of the oil–water interface. In particular, the large viscosity of oil controls the flow regime in the thin oil layer, as well as the turbulence activity in the thick water layer, with direct consequences on the overall channel flow rate, which decreases when the oil viscosity is increased. Correspondingly, we observe remarkable changes in the dynamics of waves that propagate at the oil–water interface. In particular, increasing the viscosity ratio from $$\mu _r=1$$ μ r = 1 to $$\mu _r=100$$ μ r = 100 , waves change from a two-dimensional, nearly-isotropic pattern, to an almost monochromatic one.

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Section: Introductionmentioning

confidence: 99%

Turbulence and Interface Waves in Stratified Oil–Water Channel Flow at Large Viscosity Ratio

Giamagas,

Zonta,

Roccon

et al. 2023

Flow Turbulence Combust

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“…A.H. Akselsen [13] simulated stratified flow motion under wave conditions using the two-fluid model principle. Gustavo Bochio [14] proposed a liquid-liquid flow size model to improve calculation accuracy and reduce computational complexity for studying liquid-liquid two-phase flow. Michael O. Agolom [15] reconstructed the water flow velocity profile inside a pipeline using inductive flow tomography (IFT) image reconstruction algorithm and found that the center velocity of the pipeline was much lower than expected during oscillatory flow conditions.…”

mentioning

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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Quasi-3D visualization and local parameter measurement of horizontal and nearly horizontal liquid–liquid two-phase flows by using PLIF method

Zhai¹,

Meng²,

Meng³

et al. 2022

Chemical Engineering Science

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Modeling of laminar-turbulent stratified liquid–liquid flow with entrainment

Cited by 7 publications

References 27 publications

Turbulence and Interface Waves in Stratified Oil–Water Channel Flow at Large Viscosity Ratio

Turbulence and Interface Waves in Stratified Oil–Water Channel Flow at Large Viscosity Ratio

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

Quasi-3D visualization and local parameter measurement of horizontal and nearly horizontal liquid–liquid two-phase flows by using PLIF method

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