Summary of [CFD] Inflation Layers / Prism Layers in CFD
The video delves into the utilization of Inflation layers or Prism layers in Computational Fluid Dynamics (CFD) to enhance the resolution of velocity and Temperature profiles near the wall, thereby improving the accuracy of predicting Heat transfer coefficient and Wall shear stress. Inflation layers, thin cells perpendicular to the wall, play a crucial role in achieving this resolution. Parameters like the number of layers, growth ratio (typically between 1.05 to 1.3), and boundary layer thickness are key considerations in setting up Inflation layers, with the number of layers typically ranging from 10 to 30.
Key Considerations for Inflation layers
- Number of layers
- Growth ratio (typically between 1.05 to 1.3)
- Boundary layer thickness
To ensure accurate solutions, it is essential to calculate the total height of Inflation layers, align it with the boundary layer thickness, and verify the mesh for volume transitions. Volume transitions hold significance in both Large Eddy Simulation (LES) and Reynolds-Averaged Navier-Stokes (RANS) calculations, underscoring the necessity of mesh refinement studies to uphold precision in CFD simulations. Mesh refinement studies are vital for guaranteeing accuracy in mesh parameters, emphasizing the importance of incorporating Inflation layers, growth ratio, and the number of layers in these studies.
Importance of Mesh Refinement Studies
- Volume transitions
- Mesh parameters accuracy
The speaker encourages feedback on the talk's utility and expresses openness to exploring more topics related to meshing in future discussions.
Notable Quotes
— 44:10 — « uh inflation layers remember these are thin cells which are generated on a wall normal to a wall and the reason that we have them of course is to improve the resolution in the gradients of velocity and temperature normal to the wall »
— 45:00 — « the growth ratio g is often chosen to be in the range of 1.05 to 1.3 »
— 45:10 — « if you have a y plus of 30 to 50 say you may only need 10 layers to capture the thickness of that boundary layer whereas if youve got a y plus of one and youve got a very thin cell then youre going to have to use a lot more layers »
Category
Science and Nature