Meshing & Running
Thin Gap Meshing and Refinement
SnappyHexMesh allows using different strategies to refine different surfaces and regions. However, discretizing thin gaps in the domain can result in a challenging topic. Especial critical are meshing procedures in which only triangulated surface are available. As already mentioned, OpenFOAM allows different techniques to refine thin gaps. One of them is described in this tutorial.
The Magnus Effect
The investigation into different phenomena can be done easily with numerical analysis. Some of the most famous phenomena are already simulated by Holzmann CFD such as the Magnus Effect, the Taylor-Rayleigh instability or the Kelvin-Helmholtz instability. People who love soccer should be aware of the Magnus effect, as it is a very common phenomenon in this kind of sport. However, it is also necessary for golf, tennis, table-tennis and so on.
Pseudo-2D Adaptive Mesh Refinement
Adaptive mesh refinements (AMR) is a common strategy for large numerical cases including phenomena that have to be reasonably resolved (mesh density). Using the AMR functionality, OpenFOAM® allows one to refine only the regions of interest. This training case models a pseudo-2D situation.
A multiphase simulation using the solver interFoam to investigate into falling droplets. The training case was invented 2017 with a former colleague Christian Gomez Rodrigues to proof an interesting statement. Based on Holzmann CFD's lack of knowledge in the field of droplets, Weber number and so on, the case is more related to be a fun investigation rather than a scientific investigation. An outcome of the fast set-up is the beautiful fluid dynamics and the corresponding velocity field.