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Computational Fluid Dynamics, commonly known by the acronym 'CFD', is a branch of Fluid Mechanics that resolves fluid flow problems numerically. The physical laws governing a fluid flow problem are represented by a system of partial differential equations including the continuity equation, the Navier-Stokes equations and any additional conservation equations. The numerical analysis resolves these equations by accurate and complex numerical schemes. A program or code, where the numerical algorithm is implemented, is then solved on a computer. Nowadays, most CFD codes use parallel computation in order to solve a flow problem faster by 'sharing' the calculation and the memory required among several computers.

As the performance-to-cost ratio of computers has increased at a spectacular rate in the last decade and shows no sign of slowing down, CFD is considered more often as a key industrial tool. The main attraction in using Computational Fluid Dynamics, resides in its ability to overcome the difficulties encountered within physical models (if available) or in situ field experiments to measure flow quantities in inaccessible flow regions and/or to avoid disturbances associated with intrusive instrumentation and/or by the experimental environment.

CFD is able to investigate physical fluid systems and provide a large amount of data more cost effectively with more flexibility and more rapidly than with experimental procedures. CFD is thus able to reduce and possibly eliminate costly test programs.

The Benefits of CFD

• Prediction
  Answer "What if?" questions very quickly. Predict how a design will perform and test many variations to reach an optimal result. Use CFD modeling before or instead of physical prototyping and testing.

• Design Insight
  CFD analysis can show you parts of the system, or phenomena happening within the system, that would not otherwise be visible through any other means.

• Efficiency
  Time and money are saved with shorter design cycles due to better and faster analysis. Products get to market faster.
  

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