Vis enkel innførsel

dc.contributor.authorJuric, Damir
dc.contributor.authorChergui, Jalel
dc.contributor.authorShin, Seungwon
dc.contributor.authorKahouadji, Lyes
dc.contributor.authorCraster, Richard V.
dc.contributor.authorMatar, Omar K.
dc.date.accessioned2018-01-28T12:55:47Z
dc.date.available2018-01-28T12:55:47Z
dc.date.issued2017
dc.identifier.isbn978-82-536-1544-8
dc.identifier.issn2387-4295
dc.identifier.urihttp://hdl.handle.net/11250/2480021
dc.description.abstractThe ability to predict the behaviour of multiphase flows accurately, reliably, and efficiently addresses a major challenge of global economic, scientific, and societal importance. These flows are central to virtually every processing and manufacturing technology. Significant advances have been made in the numerical methods to simulate these flows; examples of these include the use of Large Eddy Simulations to simulate turbulence, and interfacecapturing or tracking techniques to deal with the free surface. These codes have made progress in simulating the interaction of a turbulent flow field with an interface, however, there remains a large gap between what is achievable computationally and ‘real-life’ systems. We will present the latest on the modelling framework that we are currently developing within the Multi-scale Examination of MultiPHase physIcs in flowS (MEMPHIS) programme that will enable the use of numerical simulations as a reliable design tool. The framework features Front-Tracking/Level-Set hybrids, an Immersed Boundary approach to Fluid-Structure Interaction and sophisticated multi-scale, multi-physics models. The code we call BLUE is fully parallelised and can run on various platforms: from laptops to supercomputers (on over 250,000 cores). This allows the user the flexibility to choose between a quick ‘answer’ with a degree of uncertainty common to engineering applications or a high-fidelity solution, for targeted cases, that requires more time. BLUE also has builtin, user-friendly meshing capabilities that allow rapid construction of complex geometries. We present a number of simulations of problems of interest to process industries and biomedical applications, which include the design of container-filling processes, two-fluid mixing with a rotating impeller, high-speed atomization, microfluidic droplet encapsulation, falling film reactors featuring non-Newtonian fluids, and surfactant-driven non-isothermal flows.nb_NO
dc.language.isoengnb_NO
dc.publisherSINTEF Academic Pressnb_NO
dc.relation.ispartofProceedings of the 12th International Conference on Computational Fluid Dynamics in the Oil & Gas, Metallurgical and Process Industries
dc.relation.ispartofseriesSINTEF Proceedings;2
dc.subjectCFDnb_NO
dc.subjectMultiphase flownb_NO
dc.subjectSurfactantsnb_NO
dc.subjectChemical reactorsnb_NO
dc.subjectAtomizationnb_NO
dc.subjectFillingnb_NO
dc.subjectMixingnb_NO
dc.subjectMicrofluidicsnb_NO
dc.subjectNon-Newtonian fluidsnb_NO
dc.subjectFluid structure interactionnb_NO
dc.titleInnovative computing for industrially-relevant multiphase flowsnb_NO
dc.typeChapternb_NO
dc.typeConference objectnb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Technology: 500nb_NO


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel