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Computational Fluid Dynamics Seminar Report

Computational Fluid Dynamics (CFD) is an engineering tool that assists experimentation. Its scope is not limited to fluid dynamics; CFD could be applied to any process which involves transport phenomena with it. To solve an engineering problem we can make use of various methods like the analytical method, experimental methods using prototypes. The analytical method is very complicated and difficult. The experimental methods are very costly. If any errors in the design were detected during the prototype testing, another prototype is to be made clarifying all the errors and again tested. This was a time-consuming as well as a cost- consuming process. The introduction of Computational Fluid Dynamics has overcome this difficulty as well as revolutionised the field of engineering. In CFD a problem is simulated in software and the transport equations associated with the problem is mathematically solved with computer assistance. Thus we would be able to predict the results of a problem before experimentation. The results obtained by CFD are only approximate, this is because using CFD we calculate the solution at discrete points in the domain. Therefore, the continuous nature of the solution is lost. But even at the expense of that we can easily predict the approximate results which would help to reduce the cost of prototyping as well as experimentation. Here, the flow through a convergent-divergent nozzle is analysed. The inlet dimensions and the boundary conditions are kept constant and the divergent angles are varied in order to understand how the variation in divergent angle affects the flow pattern through the nozzle. Among the various models available in Fluent, the standard K-ε turbulence model was selected for the current work. A two-dimensional axi-symmetric geometrical model of the nozzle was used for the analysis purpose.

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