CFD should not mistakenly taken as "Color Fluid Dynamics":
Computational Fluid Dynamics (CFD) is being used extensively in almost all the engineering problems that can be solved by CFD. A number of commercial codes are very popular among many researchers. However, care must be taken about the limitations and applicability of such codes. Special attention should be given to the turbulence and other models used to solve a problem. Solutions to unknown problems should be dealt with engineering judgement and principles.
For "toy problems" and academic exercises, "color fluid dynamics" may be appropriate, useful, and justifiable. However, for real-world analyses of complex dynamics, "computational fluid dynamics" necessitates the incorporation of many engineering approximations (e.g., turbulence models), modeling shortcuts (e.g., unconverged mesh) and real-world variabilities. These all introduce limitations that "pollute" the solution, and force the analyst to determine if the degree of pollution is acceptable enough to be useful. In many cases, it may not be! This is an excellent example of "all models are wrong, but some are useful."
I strongly recommended that gain sufficient knowledge as well as understanding of the problem physic before going to start dealing problem over such commercial codes. mostly i see people just start working in it even they didnt know about the basic physics of the problem so i think Special attention should be given to the turbulence and other models which used to solve a given problem as well as their limitations.
For "toy problems" and academic exercises, "color fluid dynamics" may be appropriate, useful, and justifiable. However, for real-world analyses of complex dynamics, "computational fluid dynamics" necessitates the incorporation of many engineering approximations (e.g., turbulence models), modeling shortcuts (e.g., unconverged mesh) and real-world variabilities. These all introduce limitations that "pollute" the solution, and force the analyst to determine if the degree of pollution is acceptable enough to be useful. In many cases, it may not be! This is an excellent example of "all models are wrong, but some are useful."
Dear @Kamal, how about the application of "Computational Fluid Dynamics in Cardiovascular Disease" ? I do learn also!
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3173660/
http://www.innovative-cfd.com/computational-fluid-dynamics-modeling.html
Here is a fine free book on Computational Fluid Dynamics!
There are many papers and books here at ResearchGate for this issue. Dear @Ahmad, here is fine resource from RG database regarding new developments in CFD and its applications in Engineering problems.
http://bookboon.com/en/computational-fluid-dynamics-ebook
Article New Developments of Computational Fluid Dynamics and Their A...
Dear @Ahmad, I wonder whether Computational Fluid Dynamics are dependent on the geometric form of the model?
Computational fluid dynamics is a branch of fluid mechanics that uses numerical methods and algorithms to solve and analyze problems that involve fluid flows. Computers are used to perform the calculations required to simulate the interaction of liquids and gases with surfaces defined by boundary conditions. With high-speed supercomputers, better solutions can be achieved. Ongoing research yields software that improves the accuracy and speed of complex simulation scenarios such as transonic or turbulent flows. Initial experimental validation of such software is performed using a wind tunnel with the final validation coming in full-scale testing. see the following link:
http://en.wikipedia.org/wiki/Computational_fluid_dynamics
Although this might beimplicity in the responses above, the use of experimental data is in many cases essential in order to validate the numerical model. The reason obviously being that the phisics of the phenomenon can be captured by well-controlled experiments.
The knowledge of fluid mechanics, numerical analysis and PDE is CFD limitation. Too often to see young engineers jump into the conclusion of simulation results without the knowledge of them.
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