TY - GEN
T1 - On the generation of single and multiple plane compound shear layers with fan-array wind tunnels
AU - Di Luca, Matteo
AU - Leipold, Malicia
AU - Noca, Flavio
N1 - Publisher Copyright:
© 2024 by Matteo Di Luca.
PY - 2024
Y1 - 2024
N2 - Although fan-array wind tunnels (FAWT) can generate complex spatial and temporal flows through their high number of degrees of freedoms, finding the associated control laws has been elusive so far. This study demonstrates that plane compound shear flows with large shears can be generated with FAWT using a simple control law, given the addition of a carefully designed flow management device (FMD). The normalized time averaged axial velocity profile inside the compound shear layer is predicted using an existing solution to the two-dimensional incompressible Navier-Stokes equations in the absence of pressure gradients, i.e. Goertler solution. A semi-empirical model based on this solution was developed to predict the dimensional time averaged axial velocity profiles inside the shear layer. The model combines previous literature experiments with additional PIV and hot wire measurements and shows that when the downstream distance is normalized with a characteristic fan size, i.e. its height, the velocity ratio between adjacent fans is the only additional variable that determines the downstream velocity field. The model was experimentally validated through PIV measurements on a fan-array wind tunnel and allowed to find the boundaries of applicability of the simple control law. The applicability of the simple control law to multiple adjacent compound shear layers was also demonstrated experimentally. Turbulence profiles for different shear ratios are measured through hot wire anemometry to further characterize the shear flows. Although the model was validated using a small scale wind tunnel, the results are expected to be applicable to the control of fan-array wind tunnels of any size.
AB - Although fan-array wind tunnels (FAWT) can generate complex spatial and temporal flows through their high number of degrees of freedoms, finding the associated control laws has been elusive so far. This study demonstrates that plane compound shear flows with large shears can be generated with FAWT using a simple control law, given the addition of a carefully designed flow management device (FMD). The normalized time averaged axial velocity profile inside the compound shear layer is predicted using an existing solution to the two-dimensional incompressible Navier-Stokes equations in the absence of pressure gradients, i.e. Goertler solution. A semi-empirical model based on this solution was developed to predict the dimensional time averaged axial velocity profiles inside the shear layer. The model combines previous literature experiments with additional PIV and hot wire measurements and shows that when the downstream distance is normalized with a characteristic fan size, i.e. its height, the velocity ratio between adjacent fans is the only additional variable that determines the downstream velocity field. The model was experimentally validated through PIV measurements on a fan-array wind tunnel and allowed to find the boundaries of applicability of the simple control law. The applicability of the simple control law to multiple adjacent compound shear layers was also demonstrated experimentally. Turbulence profiles for different shear ratios are measured through hot wire anemometry to further characterize the shear flows. Although the model was validated using a small scale wind tunnel, the results are expected to be applicable to the control of fan-array wind tunnels of any size.
UR - https://www.scopus.com/pages/publications/85195572440
U2 - 10.2514/6.2024-2672
DO - 10.2514/6.2024-2672
M3 - Contribution to conference proceedings
AN - SCOPUS:85195572440
SN - 9781624107115
T3 - AIAA SciTech Forum and Exposition, 2024
BT - AIAA SciTech Forum and Exposition, 2024
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA SciTech Forum and Exposition, 2024
Y2 - 8 January 2024 through 12 January 2024
ER -