Computational Fluid Dynamics, or CFD – the science of how to efficiently solve numerically the Partial Differential equations describing the motion of fluids – is common in many areas of engineering. This is hardly surprising, as so many engineering objects, materials and processes deal with fluids (for example, aero– and hydrodynamics, melts, polymer extrusion, and bioengineering). Given the pervasive use of simulation techniques and virtual prototyping in egineering, physics and medicine, the CFD software business has been growing at a rate of approximately 25% per year.

This book introduces the reader to the techniques required to achieve efficient CFD solvers, and examines a wide range of topics including:
∗ data structures
∗ grid generation
∗ approximation theory
∗ approximation of operators
∗ solving of large systems of equations
∗ Euler and Navier–Stokes solvers, including TVD and FCT techniques
∗ mesh movement algorithms
∗ interpolation techniques
∗ adaptive mesh refinement
∗ efficient use of supercomputing hardware
In addition, it covers the different topics and disciplines required to carry out a CFD run in the order they appear or are required during a run, rather than in the historical order in which these topics first appeared in CFD. Moreover, heavy emphasis is placed on CFD using unstructured, i.e. unordered grids of triangles and tetrahedra, as the only successfully industrialized CFD codes that provide user–support, updates and an evolving technology to a larger user base are based on unstructured grids. Also, once the problem has been defined for this more general class of grids, reverting to structured grids is a simple matter.

Students and practicing engineers in CFD, fluid mechanics and related disciplines who purhcase Applied CFD Techniques will find it to be much more practical than other books currently available, as well as offering the benefits of valuable features (such as the inclusion of pieces of pseudo–code) in addtion to those outlined above.

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