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Simulation results are good and nice. However, you will have to visualize to data you get out of a simulation in OpenFOAM. These tutorials will explain, how to evaluate simulation results in OpenFOAM.

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Got to Archive Section of outdated tutorials


  • Sampling - Simulate the flow along a shock tube for 0.007 s and use OpenFOAM sampling utility for extracting the data along a line during the simulation and after the simulation.
  • Training material of the NanoSim project - For Lagrangian Data Visualization using ParaView checkout this tutorial. Note, this page also contains instructions to load data from the popular particle dynamics code LAMMPS/LIGGGHTS. Also, the PVReader Plugin, the LIGGGHTS reader plugin, as well as how to use math-text in Paraview annotations is provided.

Further reading

  • The OpenFOAM user guide has a section on Function Objects that is useful to understand which post-processing can be done by OpenFOAM natively.
  • The ParaView Public Wiki gives you all details related to the functionality of ParaView. Tutorias, books, etc. are linked here
  • Gnuplot is a lightweight and widespread tool for preparing plots (mainly useful for x-y plots of samples/probed data from OpenFOAM output.
  • Octave is an often recommended alternative to Gnuplot. It is the open-source alternative to Matlab.
  • You may also want to use Python-based plotting: checkout the matplotlib, or work with Spyder