Numerics

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.

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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.