Development of the N.E.A.T Boundary Layer Wind Tunnel

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Presentation transcript:

Development of the N.E.A.T Boundary Layer Wind Tunnel D. Biles, A. Ebadi, M. Allard, and C. White (Non-Equilibrium And Thermal) What in the world is a Boundary Layer? Why is it important? Boundary layers are omnipresent from our atmosphere to our oceans. They provide the dominant method for mixing of temperature, nutrients, pollution and other passive fields. Boundary layers also control important engineering parameters such as drag and heat transfer. Test Section Development length of 2.74m with a cross section of 303mm by 111mm Resistive Heater Resistive finned heaters controlled with an SCR for heating/controlling the incoming air temperature. Fan Centrifugal fan capable of achieve speeds of 0.5 – 10 m/sec Contraction ¼ reduction in cross-sectional area using a 5th order polynomial Diffuser Rectangle – to – Round diffuser Rotor-Stator (R-S) Mechanism The R-S mechanism can be used to modulated the pressure gradient within the tunnel and create sinusoidally varying mean velocity. Thermal Wall Plate Sets the temperature of the floor of the wind tunnel. Turbulent Management Section A series of honeycomb screens to straighten and condition the incoming air flow. Seeding Manifold Manifold for introducing oil droplets into the flow for velocity measurements Validation Spatial temperature distribution as measured by an IR camera Particle image velocimetry velocity profiles Air temperature probability density function Mean velocity time series Thermocouple temperature profile (normalized mean temperature) (normalized mean velocity) (normalized wall normal position) (normalized wall normal position) So Now What? With the validation of the N.E.A.T. boundary layer tunnel complete, experimental investigations can now be performed, tackling two large areas of interest: Non-equilibrium Fluid Flow 2) Near Wall Heat Transfer Little experimental data exists for analyzing the above two important areas of research. This data will help inform physics based models to be implemented in the engineering design process. Systems such as gas turbines or internal combustion engines will increase in efficiency because of more informed models. This work is supported by an NSF/DOE partnership, award’s: 1258702, 1258594, 1258697