Computational fluid dynamics (CFD) is the branch of fluid mechanics which uses numerical analysis and data structures to solve and analyze problems that involve fluid flows. It is a methodology for obtaining a discrete solution of real-world fluid problems. Discrete solution is obtained at a finite collection of space points and at discrete time levels.
Computational techniques replace the governing partial equations with systems of algebraic equations that are much easier to solve using computers. The steady improvement in computing power, since the 1350’s, this has led to the emergence of CFD. This branch of fluid dynamics complements experimental and theoretical fluid dynamics by providing alternative potentially cheaper means of testing fluid flow systems. It also can allow for the testing of conditions which are not possible or extremely difficult to measure experimentally and are not amenable to analytic solutions.
CFD techniques have emerged with the advent of digital computers. Since then, a large number of numerical methods were developed to solve flow problems using this approach. The purpose of a flow simulation is to find out how the flow behaves in a given system for a given set on inlet and outlet conditions. These conditions are usually termed boundary conditions.
CFD techniques are mainly used in aerospace, automotive and biomedical industries.
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