Best practice guidelines for turbomachinery CFD
From CFD-Wiki
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Predicting separation, stall and off-design performance can be a challenge and results with non-attached flows should be interpreted with care. | Predicting separation, stall and off-design performance can be a challenge and results with non-attached flows should be interpreted with care. | ||
| - | Heat transfer is often very difficult to predict accurately and it is common to obtain heat-transfer coefficients that are 100% wrong or more. | + | Heat transfer is often very difficult to predict accurately and it is common to obtain heat-transfer coefficients that are 100% wrong or more. Validation data is critical in order to be able to trust heat transfer simulations. |
Transition is almost impossible to predict accurately in genereal. However, there exists models that have been tuned to predict transition and these tend to give acceptable results for cases close to the ones they were tuned for. | Transition is almost impossible to predict accurately in genereal. However, there exists models that have been tuned to predict transition and these tend to give acceptable results for cases close to the ones they were tuned for. | ||
Revision as of 15:52, 7 September 2005
Contents |
Meshing
Boundary conditions
Selection of turbulence model
Numerical considerations
Multi-stage analysis
Heat transfer predictions
What to trust and what not to trust
CFD is generally quite good at predicting surface static pressure distributions. With care CFD can also be used to predict performance, total-pressure losses and blade turning.
Predicting separation, stall and off-design performance can be a challenge and results with non-attached flows should be interpreted with care.
Heat transfer is often very difficult to predict accurately and it is common to obtain heat-transfer coefficients that are 100% wrong or more. Validation data is critical in order to be able to trust heat transfer simulations.
Transition is almost impossible to predict accurately in genereal. However, there exists models that have been tuned to predict transition and these tend to give acceptable results for cases close to the ones they were tuned for.
External Links
QNET-CFD Best Practise Advice for Turbomachinery Internal Flows
