Flow Similarity and Model Testing Geometrical similarity: similar geometry. Kinematic similarity: flow pattern around the model should be similar to...

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Flow Similarity and Model Testing Geometrical similarity: similar geometry. Kinematic similarity: flow pattern around the model should be similar to... Dynamical similarity: forces acting on the model should be similar to the real object to be analyzed. Flight test of a F-18 model in NASA 11 ft transonic (Mach.4-1.5) wind tunnel NASA NFAC Wind Tunnel

Aerodynamic forces on a Bluff Body (a Sphere) Relevant parameters: free-stream velocity, U diameter of the sphere, D density of the fluid,  viscosity of the fluid,  forces on the sphere, F L & F D F L = 0 because of symmetry F D = f(U,D, ,  ) To carry out a set of experiments to characterize the drag forces on spheres, one need to vary four parameters independently: U,D, ,  It is very time consuming and the resulting data set will be difficult to analyze. Some kinds of scaling are needed to apply the wind tunnel testing data to a real flow problem.

Dimensional Analysis Drag force (F D ) depends on the pressure/shear stress distributions and should scale to the flow kinetic energy: (1/2)  U 2 and the surface area of the model: D 2. The drag coefficient is a dimensionless variable, therefore, the new function g must be consisting of dimensionless variables only. Otherwise, a choice of different unit systems will provide different results for the same system. It can be shown, by using the Buckingham Pi theorem, that the new function consists of one dimensionless variable only, that is, the Reynolds number, Re. See golf ball aerodynamicsgolf ball aerodynamics

Common Dimensionless Groups in Fluid Mechanics c: speed of the sound  : frequency of the oscillatory flow L: characteristic length V: characteristic velocity