Computational Fluid Dynamics Seminar :-
Grids :
- Structured Grid
+all nodes have the same number of elements around it
-only for simple domains
- Unstructured Grid
+ for all geometries
– irregular data structure
Applications :
- Car safety thermal imaging using CFD
- Heat exchanger imaging
- Imaging of missile prototypes
CFD Advantages :
- Relatively low cost.
- It is are relatively low cost, and costs are likely to reduce as computers become more powerful.
- CFD simulations can be accomplished in a short period of time.
- Ability to simulate real conditions.
- CFD provides the ability to theoretically simulate any physical condition.
- Comprehensive information.
- CFD allows the analyst to inspect a large number of locations in the region of interest, and produce an inclusive set of flow parameters for examination.
CFD Limitations :
- The CFD solutions can only be as specific as the physical models on which they are based.
- Solving equations on a computer invariably introduces numerical errors.
- Round-off error: due to finite word size available on the computer. Round-off errors will always exist (though they can be small in most cases).
- Truncation error: due to approximations in the numerical models. Truncation errors will go to zero as the grid is refined. Mesh refinement is one way to deal with truncation error.
- Boundary conditions.
- As with physical models, the accuracy of the CFD solution is only as good as the initial/boundary conditions provided to the numerical model.
Content of the Seminar and pdf report for Computational Fluid Dynamics (CFD) :
- What is Computational Fluid Dynamics (CFD)?
- Why and where use CFD?
- Physics of Fluid
- Grids
- Boundary Conditions
- Numerical Staff
- Applications
- Advantage
- Limitation
- Reference