[OpenFOAM] MPPICFoam in Paraview - Density of particles

Destouches · April 6, 2019, 16:46

Hi all,

I'm enjoying some particle tracking with MPPICFoam, compiling it with foamToEnsight and visualizing it in salome/Paraview.

I'm doing everything I can, but there is no way to visualize a colored map of particule density, the only way is a monochrome particle cloud, which is not that useful.

My work is based on the glorious "injectionChannel" tutorial (if you never ran it, do it, it is really nice to look at).

Is there a trick I am missing ? How to extract and visualize a particles/cm³ 2D map ?

Do I have to write a dedicated script ?

Cheers,

A.

piranha007 · May 10, 2019, 07:01

Hi Destouches, nice simulation. I also came across the same question, how to visualize the density of the particles, and my solution was:

1- Extract cloud position and save it in a .csv file (File -> Save Data)
2- Use a gaussian-KDE(Gaussian kernel density estimation), to visualize the cloud density https://python-graph-gallery.com/86-...th-2d-density/

April 6, 2019, 16:46	MPPICFoam in Paraview - Density of particles	#1
Destouches New Member Adrien Join Date: Jan 2018 Posts: 19 Rep Power: 8	Hi all, I'm enjoying some particle tracking with MPPICFoam, compiling it with foamToEnsight and visualizing it in salome/Paraview. I'm doing everything I can, but there is no way to visualize a colored map of particule density, the only way is a monochrome particle cloud, which is not that useful. My work is based on the glorious "injectionChannel" tutorial (if you never ran it, do it, it is really nice to look at). Is there a trick I am missing ? How to extract and visualize a particles/cm³ 2D map ? Do I have to write a dedicated script ? Cheers, A.

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May 10, 2019, 07:01		#2
piranha007 New Member bob Join Date: Jan 2012 Posts: 5 Rep Power: 14	Hi Destouches, nice simulation. I also came across the same question, how to visualize the density of the particles, and my solution was: 1- Extract cloud position and save it in a .csv file (File -> Save Data) 2- Use a gaussian-KDE(Gaussian kernel density estimation), to visualize the cloud density https://python-graph-gallery.com/86-...th-2d-density/