experimental study and application of computational fluid dynamics on the prediction of air velocity and temperature in a ventilated chamber

The shape of air flow in the interior is heavily influenced by the air distribution system and the way air enters and exits. by numerically simulating flow through computational fluid dynamics, one can determine the flow pattern and temperature distribution and with the help of the results, provide an optimal design of the air conditioning system. in this study, a chamber is first constructed, and the temperature distribution inside it is measured. there is a fan installed at the back of the chamber for drainage. at the chamber entrance, three inlets for entering the flow are considered. the air entering from the middle inlet is heated by a heater. to prevent heat loss, the body of the enclosure is insulated. several temperature sensors are installed in certain positions of the chamber to measure the temperature. by using fluent software, a full-sized chamber model is developed. meshing is a hybrid and is used as a boundary layer mesh. the inlet and outlet temperature of the chamber and the air output rates, as the boundary conditions, are used in the simulation. numerical analysis for k-ε and k-ω turbulence models is performed, and different wall conditions are investigated. the numerical simulation results are in good agreement with the measurement results. k-ε turbulence model with a scalable wall function provides better accuracy than other models. changes in velocity and temperature are presented in graphs and contours at different positions of the compartment.