2019
DOI: 10.1016/j.ijmultiphaseflow.2019.04.027
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Phase-field simulation of core-annular pipe flow

Abstract: Phase-field methods have long been used to model the flow of immiscible fluids. Their ability to naturally capture interface topological changes is widely recognized, but their accuracy in simulating flows of real fluids in practical geometries is not established. We here quantitatively investigate the convergence of the phase-field method to the sharp-interface limit with simulations of two-phase pipe flow. We focus on core-annular flows, in which a highly viscous fluid is lubricated by a less viscous fluid, … Show more

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Cited by 19 publications
(9 citation statements)
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References 33 publications
(88 reference statements)
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“…Additionally, we show that under these conditions, relaying in the predictions of the linear stability analysis of the initial CAF leads to a pipe length that is too short to capture the final state. While in some cases it might be a reasonable approach when the system tends to converge into a regime closer to the original state, such as bamboo-wave CAF [31], under the present conditions it results in a non-physical saturated state, specifically the wavy stratified flow shown here. However, increasing the pipe length allows the system to evolve into a physically realizable state, namely slug flow [12].…”
Section: Discussionmentioning
confidence: 80%
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“…Additionally, we show that under these conditions, relaying in the predictions of the linear stability analysis of the initial CAF leads to a pipe length that is too short to capture the final state. While in some cases it might be a reasonable approach when the system tends to converge into a regime closer to the original state, such as bamboo-wave CAF [31], under the present conditions it results in a non-physical saturated state, specifically the wavy stratified flow shown here. However, increasing the pipe length allows the system to evolve into a physically realizable state, namely slug flow [12].…”
Section: Discussionmentioning
confidence: 80%
“…Magaletti et al [22] suggested P e = 1/(3Cn). In our previous work [31], we showed that a smaller pre-factor allows for larger time-step sizes without sacrificing accuracy. In this work, we employed P e = 1/(9.27Cn) in all simulations.…”
Section: Governing Equationsmentioning
confidence: 94%
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“…Some authors rearrange this definition into an apparent pressure term and a term involving the chemical potential gradient (Song et al, 2019), i.e., ST ( ) .…”
Section: Diffusive Interface Modelmentioning
confidence: 99%