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03050nam a22005175i 4500 |
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20160129152356.0 |
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|a 9783658119126
|9 978-3-658-11912-6
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|a 10.1007/978-3-658-11912-6
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|a Roos Launchbury, David.
|e author.
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|a Unsteady Turbulent Flow Modelling and Applications
|h [electronic resource] /
|c by David Roos Launchbury.
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|a 1st ed. 2016.
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|a Wiesbaden :
|b Springer Fachmedien Wiesbaden :
|b Imprint: Springer Vieweg,
|c 2016.
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|a XV, 84 p. 60 illus.
|b online resource.
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|a text
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|a computer
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|a online resource
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|a text file
|b PDF
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|a BestMasters
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|a Large Eddy Simulation -- Subgrid Models -- Solver -- Validation -- Parallel Performance -- Recommendations for LES Simulations. .
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|a The master thesis of David Roos Launchbury deals with the implementation and validation of a numerical solver for incompressible large eddy simulation (LES) with heat transfer in OpenFOAM. Academic and industrial cases, ranging from flow between parallel plates to film cooling, are investigated utilising existing and newly-implemented turbulence models. Simulations using no turbulence models, i.e. under-resolved DNS (UDNS) simulations, are performed for comparison. Very good results are obtained in all cases with variations among the individual models, with the UDNS simulations performing surprisingly well. The study shows that the developed software is able to simulate complex cases reliably and accurately. Contents Large Eddy Simulation Subgrid Models Solver Validation Parallel Performance Recommendations for LES Simulations Target Groups Lecturers and Students of Engineering and Fluid Dynamics Readers interested in Computational Fluid Dynamics and Turbulence Modelling The Author David Roos Launchbury finished his Master’s Degree in Mechanical Engineering in Horw, Switzerland, and is currently working as research associate at Lucerne University of Applied Sciences and Arts – Engineering and Architecture.
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|a Engineering.
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|a Computer simulation.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Mechanical engineering.
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|a Engineering.
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|a Appl.Mathematics/Computational Methods of Engineering.
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|a Simulation and Modeling.
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|a Mechanical Engineering.
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|a SpringerLink (Online service)
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|i Printed edition:
|z 9783658119119
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|a BestMasters
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|u http://dx.doi.org/10.1007/978-3-658-11912-6
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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