open.foam size: 0 MB
open.foam size: 0 MB
k size: 0.001331 MB
nut size: 0.001157 MB
nuTilda size: 0.001329 MB
p size: 0.001189 MB
s size: 0.001289 MB
U size: 0.001492 MB
transportProperties size: 0.000954 MB
turbulenceProperties size: 0.002053 MB
blockMeshDict size: 0.001583 MB
fvSchemes size: 0.00149 MB
nut size: 0.001157 MB
transportProperties size: 0.000954 MB
controlDict size: 0.001265 MB
fvSolution size: 0.001711 MB
controlDict size: 0.001264 MB
fvSolution size: 0.001709 MB
nuTilda size: 0.001329 MB
p size: 0.001189 MB
U size: 0.001492 MB
turbulenceProperties size: 0.002053 MB
decomposeParDict size: 0.001015 MB
decomposeParDict size: 0.003503 MB
k size: 0.001331 MB
s size: 0.001289 MB
dynamicMeshDict size: 0.001281 MB
blockMeshDict size: 0.001583 MB
fvSchemes size: 0.00149 MB
open.foam size: 0 MB
k size: 0.001331 MB
nut size: 0.001157 MB
nuTilda size: 0.001329 MB
p size: 0.001189 MB
s size: 0.001289 MB
U size: 0.001492 MB
dynamicMeshDict size: 0.001281 MB
transportProperties size: 0.000954 MB
turbulenceProperties size: 0.002053 MB
blockMeshDict size: 0.001583 MB
controlDict size: 0.001265 MB
decomposeParDict size: 0.001015 MB
fvSchemes size: 0.00149 MB
fvSolution size: 0.001711 MB
Embed Code for Canonical Flows 2 | Turbulent Mixing Layer, AMR (OpenFOAM)
Copy the embed code below to include this project on your website:
Canonical flows 2 | turbulent mixing layer, amr (openfoam)
NoAI: This project, including models, simulations, images, and descriptions, may not be used within datasets, during the developmental process, or as inputs for generative AI tools.
About the Canonical Flows 2 | Turbulent Mixing Layer, AMR (OpenFOAM) Project
"A mixing layer develops between two parallel, but different velocity, streams separated by a splitter plate upstream. The mixing layer is a flow of paramount importance for understanding the development of turbulence in external aerodynamics or combustion, as well as in atmospheric or oceanic flows" - Mixing Layer Vortices by Marcel R. Lesieur OpenFOAM case parameters mesh: blockMesh solver: pimpleFoam turbulence model: LES (WALE) Adaptive Mesh Refinement (AMR) is the process of dynamically adapting the accuracy of a solution in certain areas of interest specified via some criteria. The idea of AMR is to get the simulation accuracy of a fine mesh while keeping the computational costs as low as possible. For this simulation I injected dye (or a passive scalar) through one of the inlets, this way I use the interface of the two streams as my refinement criteria. This method work particularly well for this simulation, but it may be necessary to use another criteria, like turbulent viscosity, in other cases. The cases and video presented are for educational purposes and should serve as a launching point in conducting and setting up your investigation. Case Files: https://github.com/Interfluo/OpenFOAM-Cases-Interfluo/tree/main/Canonical-Flows/mixing1 #openfoam #cfd #aerospace # engineering #fluids #paraview #fluiddynamics #computationalfluiddynamics
Statistics
4 Downloads
1 Likes
2955 Views
0 Comments
45 Files
0 MB Project Size
August 3rd, 2021 Uploaded
Share
Share Tweet Pin Share Share Post ShareWatch Related Video on Canonical Flows 2 | Turbulent Mixing Layer, AMR (OpenFOAM) Project
Discover insights and details about the "Canonical Flows 2 | Turbulent Mixing Layer, AMR (OpenFOAM)" project in this informative video. Gain a deeper understanding of the design, process, and application directly from our experts.
Video | Canonical Flows 2 | Turbulen...
Tags
Categories
Aerospace Mechanical Engineering Euler-Euler Modelling Aerodynamics Analysis CFD Computational Fluid Dynamics Fluid Mechanics OpenFOAM Mesh
Sponsored Ad from FindingDIY
Related Projects
Sign up to join the conversation about Canonical Flows 2 | Turbulent Mixing Layer, AMR (OpenFOAM)
Post a comment! Share insights on Canonical Flows 2 | Turbulent Mixing Layer, AMR (OpenFOAM), ask questions, and connect with other users. Whether you're curious about the 3D model, fluid simulation, or finite element analysis, your comments enrich the conversation.
No responses added yet.