the process of taking differential equations with an infinite number of degrees of freedom, and reducing it to a system of finite degrees of freedom. The central process in CFD is the process of discretization, i.e. This position is in large part due to the exponential growth of computer power which has allowed us to tackle ever larger and more complex problems. Nowadays CFD is an established discipline alongside theoretical and experimental methods. In its early days CFD was often controversial, as it involved additional approximation to the governing equations and raised additional (legitimate) issues. Computational fluid dynamics (CFD) is an additional tool in the arsenal of scientists. Furthermore, the design and construction of these experiments can be difficult (and costly), particularly for stratified rotating flows. The answers delivered are, however, usually qualitatively different since dynamical and geometric similitude are difficult to enforce simultaneously between the lab experiment and the prototype. The analytical solution of this equation is impossible hence scientists resort to laboratory experiments in such situations. The unknowns are usually the flow velocity, the pressure and density and temperature. Partial differential equations derived from the basic laws of conservation of mass, momentumĪnd energy. Fluid motion is governed by the Navier–Stokes equations, a set of coupled and nonlinear
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