Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/78890
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorQiao, Zen_US
dc.creatorYang, Xen_US
dc.creatorZhang, Yen_US
dc.date.accessioned2018-10-26T01:21:32Z-
dc.date.available2018-10-26T01:21:32Z-
dc.identifier.issn2470-0045en_US
dc.identifier.urihttp://hdl.handle.net/10397/78890-
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.rights© 2018 American Physical Societyen_US
dc.rightsThe following publication Qiao, Z., Yang, X., & Zhang, Y. (2018). Mass conservative lattice Boltzmann scheme for a three-dimensional diffuse interface model with Peng-Robinson equation of state. Physical Review E, 98(2), 023306 is available at https://doi.org/10.1103/PhysRevE.98.023306en_US
dc.titleMass conservative lattice Boltzmann scheme for a three-dimensional diffuse interface model with Peng-Robinson equation of stateen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume98en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1103/PhysRevE.98.023306en_US
dcterms.abstractPeng-Robinson (P-R) equation of state (EOS) has been widely used in the petroleum industry for hydrocarbon fluids. In this work, a three-dimensional diffuse interface model with P-R EOS for two-phase fluid system is solved by the lattice Boltzmann (LB) method. In this diffuse interface model, an Allen-Cahn (A-C) type phase equation with strong nonlinear source term is derived. Using the multiscale Chapman-Enskog analysis, the A-C type phase equation can be recovered from the proposed LB method. Besides, a Lagrange multiplier is introduced based on the mesoscopic character of the LB scheme so that total mass of the hydrocarbon system is preserved. Three-dimensional numerical simulations of realistic hydrocarbon components, such as isobutane and propane, are implemented to illustrate the effectiveness of the proposed mass conservative LB scheme. Numerical results reach a better agreement with laboratory data compared to previous results of two-dimensional numerical simulations.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPhysical review E : covering statistical, nonlinear, biological, and soft matter physics, 14 Aug. 2018, v. 98, no. 2, 23306en_US
dcterms.isPartOfPhysical review E : covering statistical, nonlinear, biological, and soft matter physicsen_US
dcterms.issued2018-08-14-
dc.identifier.isiWOS:000441681900005-
dc.identifier.eissn2470-0053en_US
dc.identifier.artn23306en_US
dc.description.validate201810 bcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberAMA-0353-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS13047779-
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