Difference between revisions of "Postprocessing"

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* [https://wiki.openfoam.com/Postprocessing_by_Ferras,_Fernandes_and_Nobrega '''Post- processing with five example cases'''] - Ferras et al. provide 5 cases and guide through the postrpocessing with gnuplot and ParaView.
 
* [https://wiki.openfoam.com/Postprocessing_by_Ferras,_Fernandes_and_Nobrega '''Post- processing with five example cases'''] - Ferras et al. provide 5 cases and guide through the postrpocessing with gnuplot and ParaView.
  
* [https://wiki.openfoam.com/index.php?title=Visualization_by_Joel_Guerrero '''Detailed information on Paraview'''] - In this tutorial you will get a deep understanding on the scientific postprocessing and visualization of results in Paraview.  
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* [https://wiki.openfoam.com/index.php?title=Visualization_by_Joel_Guerrero '''Detailed information on Paraview'''] - In this tutorial you will get a deep understanding on the scientific postprocessing and visualization of results in Paraview. Also introduces [https://www.paraview.org/in-situ/ Paraview'S Catalyst]
  
 
* [https://wiki.openfoam.com/Sampling_by_Bahram_Haddadi_and_colleagues '''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.
 
* [https://wiki.openfoam.com/Sampling_by_Bahram_Haddadi_and_colleagues '''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.

Revision as of 08:43, 13 February 2019

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.

Go back to Collection by topic.

Post-processing

  • 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.
  • swak4Foam and pyFoam - This tutorial provides material on how to use swak4Foam and pyFoam to postprocess data.

Further reading

  • 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