Difference between revisions of "Postprocessing"
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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/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] | ||
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* [https://github.com/NanoSim/CoursesAndTrainingPortfolio/tree/master/5_VisualizationTools '''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. | * [https://github.com/NanoSim/CoursesAndTrainingPortfolio/tree/master/5_VisualizationTools '''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. |
Revision as of 09:35, 30 November 2022
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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Post-processing
- 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 Paraview's Catalyst
- 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