Abstract
Computational fluid dynamics (CFD) has brought a step change in the field of flow analysis, particularly in the areas of fluid dynamics and heat transfer, which are intertwined. It has carved a niche in applications where, a decade back, experimentation was the only way forward. This article covers the benchmarking of convective heat transfer cases through the use of CFD software. The cases investigated are common cases of heat transfer involving free convection and one case involving forced convection. The results from CFD analysis are compared with the regressions available for each test case. The two sets of data coincide well, with a percentage difference as low as 0.4%. Information on setting up CFD analysis accurately, particularly for solving problems of natural convection, is also included.
Highlights
Computational fluid dynamics (CFD) over the last two decades has been of the most rapidly developing areas in engineering
Vertical cavity Natural flow in cavities is a topic that has attracted a tremendous amount of interest and is widely used for comparison of numerical codes
For all entire vertical cavity cases solved using CFD, the value of the Rayleigh number was found to be less than this critical value, and fluid was modelled as laminar
Summary
Computational fluid dynamics (CFD) over the last two decades has been of the most rapidly developing areas in engineering. CFD modelling was done using average constant values for viscosity, thermal conductivity and specific heat If all these properties were coupled to temperature, the solution would become computationally expensive. Momentum and pressure discretization, the QUICK (quadratic upstream interpolation for convective kinetics) scheme was used This gives thirdorder accuracy results when used with quadrilateral meshes [1]. Where there are large temperature differences inside the domain, density can be modelled using the ideal gas law When this option is used, Fluent calculates the density as: Pop ρ= R M wT (11).
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