Difference between revisions of "Numerics"
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* [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/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=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/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. | ||
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* [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/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/Numerical_schemes_by_Tobias_Holzmann '''Numerical scheme analyzing'''] - In this tutorial you will learn about numerical schemes. | * [https://wiki.openfoam.com/Numerical_schemes_by_Tobias_Holzmann '''Numerical scheme analyzing'''] - In this tutorial you will learn about numerical schemes. | ||
=Further reading= | =Further reading= | ||
Revision as of 05:23, 18 December 2020
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
- Finite Volume Method and numerics - In these slides you will find a brief introduction to the FVM and the numerics implemented in OpenFOAM.
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.
- Discretization – Part 1 - Use the scalarTransportFoam solver, simulate 5 s of flow inside a shock tube using different discritization schemes..
- Grid dependence - Here you will learn the importance of grid resolution and its effect onto your 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
- Numerical scheme analyzing - In this tutorial you will learn about numerical schemes.
