Computational Fluid Dynamics (CFD) is a design tool that has been developed over the past few decades and will be continually developed as the understanding of the physical and chemical phenomena underlying CFD theory improves. The goals of CFD are to be able to accurately predict fluid flow, heat transfer and chemical reactions in complex systems, which involve one or all of these phenomena. Presently, CFD is being increasingly employed by many industries either to reduce manufacturing design cycles or to provide an insight into existing technologies so that they may be analyzed and improved. Examples of such industries include power generation, aerospace, process industries, automotive, chemical engineering and construction. As a design tool, CFD presently sits behind experimental analysis due to the fact that CFD does not produce absolute results. The reason for this is that the numerical methods, which govern the solutions in a CFD problem, rely on several modeling assumptions that may not have been validated to a satisfactory level. However, CFD presently offers itself as a powerful design tool and even more so in the future because:
(a) Dangerous or expensive trial and error experiments can be simulated and
design parameters observed prior to any physical prototype being constructed;
(b) Computers are becoming even more powerful and less expensive, thus
allowing larger CFD simulations to be calculated, or more detailed simulations of present CFD problems;
(c) The numerical schemes and physical models that are the building blocks of
CFD are continually improving.
(d) If a CFD model can be established yielding accurate results on one particular design, then the model can be used as a tool of prediction for that design under many different operating conditions.
Computational Fluid www.leeds.ac.uk/cfd