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dc.contributor.authorFeng, Xiaoyu
dc.contributor.authorKou, Jisheng
dc.contributor.authorSun, Shuyu
dc.date.accessioned2018-08-30T05:36:34Z
dc.date.available2018-08-30T05:36:34Z
dc.date.issued2018-06-12
dc.identifier.citationFeng X, Kou J, Sun S (2018) A Novel Energy Stable Numerical Scheme for Navier-Stokes-Cahn-Hilliard Two-Phase Flow Model with Variable Densities and Viscosities. Computational Science – ICCS 2018: 113–128. Available: http://dx.doi.org/10.1007/978-3-319-93713-7_9.
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.doi10.1007/978-3-319-93713-7_9
dc.identifier.urihttp://hdl.handle.net/10754/628339
dc.description.abstractA novel numerical scheme including time and spatial discretization is offered for coupled Cahn-Hilliard and Navier-Stokes governing equation system in this paper. Variable densities and viscosities are considered in the numerical scheme. By introducing an intermediate velocity in both Cahn-Hilliard equation and momentum equation, the scheme can keep discrete energy law. A decouple approach based on pressure stabilization is implemented to solve the Navier-Stokes part, while the stabilization or convex splitting method is adopted for the Cahn-Hilliard part. This novel scheme is totally decoupled, linear, unconditionally energy stable for incompressible two-phase flow diffuse interface model. Numerical results demonstrate the validation, accuracy, robustness and discrete energy law of the proposed scheme in this paper.
dc.publisherSpringer Nature
dc.rightsArchived with thanks to Computational Science – ICCS 2018
dc.subjectDiffuse interface
dc.subjectEnergy stable
dc.subjectTwo-phase flow
dc.titleA Novel Energy Stable Numerical Scheme for Navier-Stokes-Cahn-Hilliard Two-Phase Flow Model with Variable Densities and Viscosities
dc.typeConference Paper
dc.contributor.departmentComputational Transport Phenomena Lab
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalComputational Science – ICCS 2018
dc.conference.date2018-06-11 to 2018-06-13
dc.conference.name18th International Conference on Computational Science, ICCS 2018
dc.conference.locationWuxi, CHN
dc.eprint.versionPost-print
dc.contributor.institutionNational Engineering Laboratory for Pipeline Safety, Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum, Beijing, 102249, , China
dc.contributor.institutionSchool of Mathematics and Statistics, Hubei Engineering University, Xiaogan, 432000, , China
dc.identifier.arxivid1805.09509
kaust.personSun, Shuyu
dc.versionv1
refterms.dateFOA2018-08-30T07:05:15Z
dc.date.published-online2018-06-12
dc.date.published-print2018
dc.date.posted2018-05-24


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