Performance Analysis of a Refrigeration System Using Nano Fluid

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Performance Analysis of a Refrigeration System Using Nano Fluid ( performance-analysis-refrigeration-system-using-nano-fluid )

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Performance Analysis of a Refrigeration System Using Nano Fluid 465 h (x ) = q (6) πDL [Ts (x)− Tm (x)] Thorough analysis of the problem was done and it was found out that the nature of heat transfer is Forced convection with CONSTANT HEAT FLUX. Heat flux is kept constant for varying concentrations of CuO so that different heat transfer coefficient values can be obtained. 5. Design Using Gambit Software 5.1 Gambit Introduction GAMBIT is geometry and mesh generation software, usually used with Fluent. GAMBIT’s single interface for geometry creation and meshing brings together most of Fluent’s preprocessing technologies in one environment. GAMBITs combination of CAD interoperability, geometry cleanup, decomposition and meshing tools results in one of the easiest, fastest, and most straightforward preprocessing paths from CAD to quality CFD meshes. Different CFD problems require different mesh types, and GAMBIT gives you all the options you need in a single package. 5.2 Modeling of Evaporator Test Section Using Gambit Software First the evaporator test section has been modeled using CATIA as shown below straight horizontal tube with diameters: • Internal diameter of inner tube: 8 mm • External diameter of inner tube: 10 mm • Length of test section: 144 mm Fig. 3: Evaporator test section. 6. Mathematical Modeling 6.1. Heat transfer coefficient The formulae for the heat transfer coefficient is given below

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