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A hybrid interface tracking - level set technique for multiphase flow with soluble surfactant

Authors
Shin, SeungwonChergui, JalelJuric, DamirKahouadji, LyesMatar, Omar K.Craster, Richard V.
Issue Date
15-Apr-2018
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
Keywords
Multiphase flow; Numerical simulation; Front-tracking method; Soluble surfactant
Citation
JOURNAL OF COMPUTATIONAL PHYSICS, v.359, pp.409 - 435
Journal Title
JOURNAL OF COMPUTATIONAL PHYSICS
Volume
359
Start Page
409
End Page
435
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/3828
DOI
10.1016/j.jcp.2018.01.010
ISSN
0021-9991
Abstract
A formulation for soluble surfactant transport in multiphase flows recently presented by Muradoglu and Tryggvason (JCP 274 (2014) 737-757) [17] is adapted to the context of the Level Contour Reconstruction Method, LCRM, (Shin et al. IJNMF 60 (2009) 753-778,[ 8]) which is a hybrid method that combines the advantages of the Front-tracking and Level Set methods. Particularly close attention is paid to the formulation and numerical implementation of the surface gradients of surfactant concentration and surface tension. Various benchmark tests are performed to demonstrate the accuracy of different elements of the algorithm. To verify surfactant mass conservation, values for surfactant diffusion along the interface are compared with the exact solution for the problem of uniform expansion of a sphere. The numerical implementation of the discontinuous boundary condition for the source term in the bulk concentration is compared with the approximate solution. Surface tension forces are tested for Marangoni drop translation. Our numerical results for drop deformation in simple shear are compared with experiments and results from previous simulations. All benchmarking tests compare well with existing data thus providing confidence that the adapted LCRM formulation for surfactant advection and diffusion is accurate and effective in three-dimensional multiphase flows with a structured mesh. We also demonstrate that this approach applies easily to massively parallel simulations. (C) 2018 Elsevier Inc. All rights reserved.
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