Numerics

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Revision as of 05:48, 11 July 2018 by Jozsef Nagy (talk | contribs)
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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.
  • Discretization – Part 1 - Use the scalarTransportFoam solver, simulate 5 s of flow inside a shock tube using different discritization schemes..
  • Discretization schemes - Here you will see the influence of the mesh type, hexaeder and tetraeder, the orientation of the mesh and the mesh density on the accuracy of the solution and if the scheme produces physical or also non-physical values.
  • 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.
  • Session B: Using OpenFOAM - Here you will find information about fvSchemes and fvSolution.

Further reading