Difference between revisions of "Numerics"
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'''Theory''' | '''Theory''' | ||
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'''Application''' | '''Application''' | ||
| − | * | + | * [https://wiki.openfoam.com/Finite_Volume_Discretization_by_Hrvoje_Jasak '''Simulation optimizing strategies'''] - In this tutorial you will find strategies on how to improve your simulation results by optimizing the utilized discretization settings. |
| − | * | + | * [https://wiki.openfoam.com/Discretization_by_Jozsef_Nagy '''Details about discretization schemes'''] - This tutorial gives insight into discretization and the influence of different schemes on the simulation results. |
| − | * [https://wiki.openfoam.com/ | + | * [https://wiki.openfoam.com/Grid_Convergence_by_Bahram_Haddadi '''Patching fields'''] - Use the sonicFoam solver, simulate 0.007 s of flow inside a shock tube, with a mesh with 100, 1000 and 10000 cells in one dimension, for initial values 1 bar/0.1 bar and 10 bar/0.1 bar.. |
| − | * [https://wiki.openfoam.com/index.php?title= | + | * [https://wiki.openfoam.com/index.php?title=Transport_equation_by_Jozsef_Nagy '''Transport equations in OpenFOAM'''] - Here you will get a basic idea on the structure of the transport equations, which are solved in CFD and also in OpenFOAM. |
| − | * [https://wiki.openfoam.com/ | + | * [https://wiki.openfoam.com/NACA0012_by_Michael_Alletto '''Transonic flow around a periodically pitching NACA0012 airfoil'''] - In this tutorial you will learn about the compressible transonic flow around a periodically pitching NACA0012 airfoil including the study of divergence schemes |
| + | *[https://wiki.openfoam.com/Discretization_by_Bahram_Haddadi '''Discretization – Part 1'''] - Use the scalarTransportFoam solver, simulate 5 s of flow inside a shock tube using different discritization schemes.. | ||
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| + | Check the [https://wiki.openfoam.com/Numerics_archive '''Archive'''] section for more (however not fully up to date) tutorials on numerics. | ||
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=Further reading= | =Further reading= | ||
Latest revision as of 12:07, 30 May 2023
In order to correctly run a simulation, it is of utmost importance to understand the numerics being solved in the simulations. These tutorials will give you detailed insight into the theory behind CFD and especially OpenFOAM.
Go back to Collection by topic.
Numerics
Theory
Application
- Simulation optimizing strategies - In this tutorial you will find strategies on how to improve your simulation results by optimizing the utilized discretization settings.
- Details about discretization schemes - This tutorial gives insight into discretization and the influence of different schemes on the simulation results.
- Patching fields - Use the sonicFoam solver, simulate 0.007 s of flow inside a shock tube, with a mesh with 100, 1000 and 10000 cells in one dimension, for initial values 1 bar/0.1 bar and 10 bar/0.1 bar..
- Transport equations in OpenFOAM - Here you will get a basic idea on the structure of the transport equations, which are solved in CFD and also in OpenFOAM.
- Transonic flow around a periodically pitching NACA0012 airfoil - In this tutorial you will learn about the compressible transonic flow around a periodically pitching NACA0012 airfoil including the study of divergence schemes
- Discretization – Part 1 - Use the scalarTransportFoam solver, simulate 5 s of flow inside a shock tube using different discritization schemes..
Check the Archive section for more (however not fully up to date) tutorials on numerics.
