asimonder/geometricVoFCartesian
OpenFOAM library with conventional and machine-learning models for volume of fluid method
This OpenFOAM extension library helps computational fluid dynamics engineers more accurately simulate two-phase fluid flows, like bubbles in liquid or oil-water interfaces. It takes raw simulation data from a Cartesian grid and applies advanced conventional or machine learning models to calculate the interface's normal vector and curvature. The result is a more precise understanding of how these fluid interfaces behave.
Use this if you are an OpenFOAM user performing two-phase flow simulations on uniform Cartesian grids and need highly accurate estimations of fluid-fluid interface normal vectors and curvature.
Not ideal if your simulations are primarily single-phase, or if you are not using OpenFOAM for your computational fluid dynamics work.
Stars
22
Forks
2
Language
C++
License
GPL-3.0
Category
Last pushed
Dec 04, 2025
Commits (30d)
0
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