Modelization of the Low-Mach Navier Stokes equations in unstructured meshes

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics
dc.contributor	Universitat Politècnica de Catalunya. CTTC - Centre Tecnològic de la Transferència de Calor
dc.contributor.author	Chiva Segura, Jorge
dc.contributor.author	Ventosa, Jordi
dc.contributor.author	Lehmkuhl Barba, Oriol
dc.contributor.author	Pérez Segarra, Carlos David
dc.date	2011
dc.identifier.citation	Chiva, J. [et al.]. Modelization of the Low-Mach Navier Stokes equations in unstructured meshes. A: International Conference on Computational Heat and Mass Transfer. "ICCHMT 2011. 7th International Conference on Computational Heat and Mass Transfer 7th International Conference on Computational Heat and Mass Transfer". Istanbul: 2011, p. 1-8.
dc.identifier.uri	http://hdl.handle.net/2117/15558
dc.language.iso	eng
dc.relation	https://www.cttc.upc.edu/tmp/showuplqgFCxS.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Física::Termodinàmica::Física de la transmissió de la calor
dc.subject	Navier-Stokes equations -- Numerical solutions
dc.subject	Mach number
dc.subject	Equacions de Navier-Stokes -- Mètodes numèrics
dc.subject	Nombre de Mach
dc.title	Modelization of the Low-Mach Navier Stokes equations in unstructured meshes
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	In this paper a Low-Mach number approximation of the Navier Stokes Equations in unstructured meshes is presented. Both staggered and collocated formulations for unstructured grids will be used.The aim is to develop a numerical algorithm suitable for describing flows which present large variations of the density field, but that the speed of the flow is low, so that the Mach number is small and if a compressible formulation was to be used would cause strong limitations to the time step. The test case for verification will be a differentially heated cavity with a large temperature gradient. The results will be compared against benchmark data.
dc.description.abstract	Peer Reviewed

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