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Aim The objective of the project is to create a MRF model by importing the model to Ansys Icepak and setup the physics & solve the thermal model. Moving Reference Frame The Moving reference frame approach is a steady state method used in CFD to model problems with rotating parts. The MRF is a moving/sliding mesh…
Aravind Subramanian
updated on 24 Aug 2021
Aim
The objective of the project is to create a MRF model by importing the model to Ansys Icepak and setup the physics & solve the thermal model.
Moving Reference Frame
The Moving reference frame approach is a steady state method used in CFD to model problems with rotating parts. The MRF is a moving/sliding mesh technique which can deal with strong interactions between the moving volume and the surrounding stationary volume. The volumetric region of mesh cells is created around the rotating body during the meshing.
Geometry
The MRF tutorial.tzr file is unpack in the Icepak and the fluid region around the fan is created.
Model
Fluid A
Geom - Cylinder.
Type- fluid.
Plane - Y-Z.
Xc - 141.3 mm.
Yc - 133.04 mm.
Zc - 130.06 mm.
Height - 20.
Radius - 34.
iRadius - 0.
Properties
The select use rotation to MRF option & Rotation - 6000rpm.
Fluid B
Geom - Cylinder.
Type- fluid.
Plane - Y-Z.
Xc - 141.3 mm.
Yc - 133.04 mm.
Zc - 56.06 mm.
Height - 20.
Radius - 34.
iRadius - 0.
Properties
The select use rotation to MRF option & Rotation - 6000rpm.
Cabinet : It creates a fluid region around the model for which the governing equations are solved.
i) Geometry
Shape - Prism.
Specified By - Start/length.
Start Xs - 232.6 mm.
Start Ys - 84.84 mm.
Start Zs - -1.6 mm.
End XL - 405.3 mm.
End YL - 96.52 mm.
End ZL - 183.3 mm.
ii) Properties - The wall type for the cabinet is defined.
Min X - Wall.
Max X - Wall.
Min Y - Wall.
Max Y - Wall.
Min Z - default.
Max Z - Wall.
Assemble - 1
Select all the blocks and click on create --> assembly.
Under the meshing tab choose Mesh separately,
Multi level meshing
The assembly for the other
Mesh Control
Cut plane along Z
Cut plane along Y
Cut plane along X
The multi level mesh is used to capture the fan blades with more accuracy.
Surface Mesh of fan blades
All the features of the fan have been captured with the Multilevel meshing of level 3.
Mesh Verification
Face alignment
The min value of the model is 0.3523 which is ideal for the results.
Volume
The volume of the mesh greater than 10^-13 & Max / Min cell ratio is around 4e6 which is in required range & the single precision can be used for this model.
Skewness
It determines how close to the ideal & based on the equilateral volume. The value greater than 0.5 provide good cell quality.
The min value of the skewness is 0.2053 so only ideal element are formed.
Solver
The three dimensional steady state Navier stokes equations for the model are solved within the computational domain.
General Setup
The defaults value of the parameters are set to default.
Transient Setup
Solution Initialization
X velocity - 0.
Y velocity - 0.
Z velocity -0.
Temperature - ambient.
Turbulent kinetic energy - 1 m2/s2.
Turbulent dissipation rate - 1m2/s3.
Basic settings
No of iterations - 1000.
Convergence criteria
Flow - 1e-5.
Energy - 1e-7.
Joule heating - 1e-7.
Turbulent kinetic energy - 1e-7.
Turbulent dissipation rate - 1e-7.
Parallel Settings
Configuration - parallel.
Parallel options - 4 processors.
Advance Solver Setup
Results
The residuals for the following equations are plotted against the number of iterations:
From the residual plot the solution has converged around 800 iterations.
Monitor points
These are probes set at the various location in the computational domain to determine the temperature variable. The temperature has reached the converged state around 600 iterations.
The velocity has reached the converged state around 400 iterations.
Results
Temperature along X plane
Temperature along Y plane
Temperature along Z plane
Velocity Plot
Particle tracer
The fan is rotated in clockwise direction and reverse flow occurs in the model & swirl effect is captured in the model
Conclusion
In this project the moving reference frame modelling enables for the more accurate prediction of the flow. The three dimensional steady-state governing equations for the model were solved for flow and temperature within the computational domain in the Icepak.
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