Experimental study on liquid–liquid two-phase flow patterns and plug hydrodynamics in a small channel

Wang, Changliang; Tian, Mei; Zhang, Jingzhi; Zhang, Guanmin

doi:10.1016/j.expthermflusci.2021.110455

Cited by 7 publications

(15 citation statements)

References 53 publications

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“…This stratified flow is similar to that of Wang et al (Wang et al, 2021). However, the one of Wang et al remains attached to the channel wall, which is not the case in our simulations.…”

Section: Figsupporting

confidence: 88%

“…According to Wang et al (Wang et al, 2021), the interface shape and periodic waves observed in this flow pattern are mainly caused by surface tension effects in the junction region.…”

Section: Figmentioning

confidence: 83%

“…In this flow pattern, the Reynolds number of the dispersed phase 𝑅𝑒 𝑑 remains small and the dispersed phase was easily broken into droplets due to the high shear exerted by the continuous phase (𝑅𝑒 𝑐 > 0.4) (Wang et al, 2021). This leads to a short detachment time and droplets with a length smaller than the channel width.…”

Section: Figmentioning

confidence: 97%

“…4f, it can be seen that the dispersed phase moves in the middle of the channel with a nonregular wavy interface. This wavy interface is caused by shear instability as a result of the difference in velocities between the two phases (Wang et al, 2021).…”

Section: Figmentioning

confidence: 99%

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Numerical Investigation of Flow Patterns and Plug Hydrodynamics in a 3D T-junction Microchannel

Said

BOUDA

Harmand

2023

Microgravity Sci. Technol.

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A three-dimensional (3D) numerical simulation of two-phase flow liquid/liquid is performed in a rectangular microchannel with a T-junction. The volume of fluid (VOF) method was used under ANSYS Fluent to capture the interface between the two phases. The dynamic mesh adaptation technique together with the assumption of symmetry plane helps us to reduce the computational cost.The study focuses on the flow patterns and hydrodynamics of plugs. So, the influence of the flow rate ratio 𝑞, the capillary number 𝐶𝑎, and the viscosity ratio  on the liquid film, the plug/droplet shape, and velocity are examined here. Particularly, the plug/droplet lengths predicted by the simulation show good agreement with experimental and correlation available in the literature.The results revealed six distinct flow patterns by dispersing water in a continuous phase of silicone oil. By decreasing the flow rate ratio as well as the viscosity ratio, the liquid film thickness increases in the corners and side planes. In turn, this greatly impacts the liquid film velocity and the plug velocity. Furthermore, capillary number (based on two-phase flow velocity 𝑈 𝑇𝑃 ) is also shown to have a greater impact than viscosity ratio and flow rate ratio on plug shape, with the tail curvature always larger than the front curvature.

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“…This stratified flow is similar to that of Wang et al (Wang et al, 2021). However, the one of Wang et al remains attached to the channel wall, which is not the case in our simulations.…”

Section: Figsupporting

confidence: 88%

“…According to Wang et al (Wang et al, 2021), the interface shape and periodic waves observed in this flow pattern are mainly caused by surface tension effects in the junction region.…”

Section: Figmentioning

confidence: 83%

Section: Figmentioning

confidence: 97%

Section: Figmentioning

confidence: 99%

See 2 more Smart Citations

Numerical Investigation of Flow Patterns and Plug Hydrodynamics in a 3D T-junction Microchannel

Said

BOUDA

Harmand

2023

Microgravity Sci. Technol.

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show abstract

“…The flow pattern changes with the volume fraction, the velocity, configuration, etc. Some researchers observe flow patterns by the high-speed camera were investigated [4]. Keska et al [5] carried out experiments to find appropriate ways, such as capacitive, resistive, optical, and pressure for identifying the flow pattern.…”

Section: Introductionmentioning

confidence: 99%

Classification of Oil-Gas-Water Three-Phase Flow in a Pipeline Based on BP Neural Network Analysis

Lü¹,

Zhang²

2022

JDAIP

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The flow pattern in a pipeline is a very important topic in petroleum exploitation. This paper is to classify the flow pattern of oil-gas-water flow in a pipeline by using BP neural network. The effects of different parameter combinations are investigated to find the most important ones. It is shown that BP neural network can be used in the analysis of the flow pattern of three-phase flow in pipelines. In most cases, the mean square error is large for the horizontal pipes. The optimized neuron number of the middle layer changes with conditions. So we must changes the neuron number of the middle layer in simulation for any conditions to seek the best results. These conclusions can be taken as references for further study of the flow pattern of oil-gas-water in a pipeline.

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Slug bubble deformation and its influence on bubble breakup dynamics in microchannel

Fei

Zhu²,

Fu³

et al. 2022

Chinese Journal of Chemical Engineering

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Experimental study on liquid–liquid two-phase flow patterns and plug hydrodynamics in a small channel

Cited by 7 publications

References 53 publications

Numerical Investigation of Flow Patterns and Plug Hydrodynamics in a 3D T-junction Microchannel

Numerical Investigation of Flow Patterns and Plug Hydrodynamics in a 3D T-junction Microchannel

Classification of Oil-Gas-Water Three-Phase Flow in a Pipeline Based on BP Neural Network Analysis

Slug bubble deformation and its influence on bubble breakup dynamics in microchannel

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