An efficient mass-preserving interface-correction level set/ghost fluid method for droplet suspensions under depletion forces
Aiming for the simulation of colloidal droplets in microfluidic devices, we present here a numerical method for two-fluid systems subject to surface tension and depletion forces among the suspended droplets. The algorithm is based on an efficient solver for the incompressible two-phase Navier–Stokes...
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Published in | Journal of computational physics Vol. 353; pp. 435 - 459 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Cambridge
Elsevier Inc
15.01.2018
Elsevier Science Ltd Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 0021-9991 1090-2716 1090-2716 |
DOI | 10.1016/j.jcp.2017.10.046 |
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Summary: | Aiming for the simulation of colloidal droplets in microfluidic devices, we present here a numerical method for two-fluid systems subject to surface tension and depletion forces among the suspended droplets. The algorithm is based on an efficient solver for the incompressible two-phase Navier–Stokes equations, and uses a mass-conserving level set method to capture the fluid interface. The four novel ingredients proposed here are, firstly, an interface-correction level set (ICLS) method; global mass conservation is achieved by performing an additional advection near the interface, with a correction velocity obtained by locally solving an algebraic equation, which is easy to implement in both 2D and 3D. Secondly, we report a second-order accurate geometric estimation of the curvature at the interface and, thirdly, the combination of the ghost fluid method with the fast pressure-correction approach enabling an accurate and fast computation even for large density contrasts. Finally, we derive a hydrodynamic model for the interaction forces induced by depletion of surfactant micelles and combine it with a multiple level set approach to study short-range interactions among droplets in the presence of attracting forces. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0021-9991 1090-2716 1090-2716 |
DOI: | 10.1016/j.jcp.2017.10.046 |