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dc.contributor.authorRadl, Stefan
dc.contributor.authorGonzales, Begona C.
dc.contributor.authorGoniva, Christoph
dc.contributor.authorPirker, Stefan
dc.date.accessioned2017-11-08T07:51:02Z
dc.date.available2017-11-08T07:51:02Z
dc.date.issued2015
dc.identifier.isbn978-82-536-1432-8
dc.identifier.isbn978-82-536-1433-5
dc.identifier.isbn978-82-536-1432-8
dc.identifier.isbn978-82-536-1433-5
dc.identifier.issn2387-4295
dc.identifier.urihttp://hdl.handle.net/11250/2464769
dc.description.abstractEuler-Lagrange (EL) simulations are an extremely important tool for academia and industry to better understand gas-particle flows. We present simulation results for various gas-particle flow configurations using a variety of Lagrangian-to-Euler coupling schemes. Specifically, we have combined the idea of smoothing the exchange fields (as proposed by Pirker et al. (2011), as well as Capecelatro and Desjardins (2013)) to design a new generation of robust mapping schemes that allow implicit, explicit or a hybrid implicit/explicit time marching. Our schemes enable EL simulations of highly loaded gas-particle flows in which particles have a broad size distribution. We demonstrate the performance of our mapping schemes for the case of (i) a bubbling bi-disperse fluidized bed, (ii) a freely sedimenting suspension, as well as (iii) particle injection in turbulent cross flow configurations.
dc.description.sponsorshipACKNOWLEDGEMENTS. The help of Dipl.-Ing. BSc. Stefan Darmann (TU Graz) in setting up the 2D JICF configuration is greatly acknowledged. We acknowledge the support of NAWI Graz by providing access to dcluster.tugraz.at.
dc.language.isoeng
dc.publisherSINTEF Academic Press
dc.relation.ispartofSelected papers from 10th International Conference on Computational Fluid Dynamics in the Oil & Gas, Metallurgical and Process Industries
dc.relation.ispartofseriesSINTEF Proceedings;1
dc.subjectEuler-Lagrange
dc.subjectNumerical schemes
dc.subjectGas-Particle flows
dc.titleState of the art in mapping schemes for dilute and dense Euler-Lagrange simulations
dc.typeChapter
dc.typeConference object
dc.typePeer reviewed
dc.description.versionpublishedVersion
dc.rights.holder© 2015 SINTEF Academic Press
dc.subject.nsiVDP::Technology: 500


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