Computational fluid dynamics are used to analyze and optimize the design of products such as aircraft, automobiles, ships and much more. For example, such analyses are used to improve combustion in an engine to reduce emissions and increase efficiency, aerodynamic design optimizations for aircraft fuselages, wing profiles and also automobiles, improve the cooling of electronic components and much more.
For these calculations, it is necessary to discretize the calculation area. This means that the calculation area is divided into small, contiguous volumes that allow numerical analysis. This subdivision is realized with a mesh, which is generated before the calculation with a mesher (mesh generator). It can take over a week to generate the computational mesh for a complex geometry. Mesh generation is therefore the biggest bottleneck in the productivity of industrial CFD tools.
A few CFD calculation programs have automatic meshers built into the calculation algorithm (solver), which can generate a mesh quickly enough without affecting the overall duration of a simulation. These automatic meshers create hexahedron elements in the entire calculation area. These elements are cut at the edges of the calculation area (cut-cell Cartesian mesh).
The biggest disadvantage of the calculation with a "cut-cell Cartesian mesh" is that the boundary layer is not adequately resolved. However, this is essential in order to capture changes in the flow state (gradients) occurring at the edges with sufficient accuracy. To date, there is no method for mesh generation that creates a boundary layer mesh for the boundary layer and also works fast enough so that it could be used for unsteady flows with moving parts.
meshnomo is developing a CFD mesher that creates a fully automated mesh with boundary layer cells and works fast enough so that it can be called up by the solver during a calculation. This combines the advantages of a Cartesian mesh with cut cells (ease of use and speed) and a complex mesh with boundary layer cells (accuracy). Automated refinement methods (Automatic Mesh Refinement - AMR) will also be incorporated to ensure that the mesh captures the flow phenomena with sufficient accuracy.
AI-based support is also to be developed for the preparation of calculations, making the complicated CFD methods more accessible for non-experienced users. It will also help experts to select the right settings for a calculation in order to save time and costs for a successful CFD simulation. [nbsp]
meshnomo makes fluid mechanics analysis more accessible, faster and more reliable.
