Experimental Analysis of Anisotropic Porous Lattice Substrates on Pressure Gradient Induced Turbulent Separation Bubbles
ORAL
Abstract
We investigate the impact of anisotropic porous lattice substrates attached to a flat-plate on pressure gradient induced turbulent separation bubbles (TSB). The flow upstream of the substrate has a Reynolds number of approximately 760 based on the momentum thickness of the incoming turbulent boundary layer. The adverse pressure gradient is generated by suction, with the mean suction velocity at 45% of the free stream velocity. To examine the effects, we utilize four different substrates of High (~0.8), Medium (~0.5) and Low (~0.15) porosities. All designs have high porosities in the wall normal direction, while the porosities in the streamwise and spanwise directions are varied. These substrates span the width of the flat-plate and extend both upstream and downstream of the time-averaged separation bubble. We collect Stereoscopic Particle Image Velocimetry (SPIV) data to analyze and compare the flow characteristics in cases with and without the substrate. The SPIV measurements are taken at three different streamwise planes: the centerline plane, as well as two planes located 50 mm on either side of the centerline. Preliminary analysis of the time-averaged flow fields reveals the time-averaged flow separation is eliminated. In addition, we observe air flow jetting out from the substrate onto the surface. The SPIV results are compared with Direct Numerical Simulations (DNS) results. Overall, these findings provide valuable insights into the behavior of TSBs over anisotropic porous lattice substrates.
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Publication: R. Richardson, Y. Zhang, and L. N. Cattafesta, "Low Frequency Characteristics of a Pressure-Gradient Induced Turbulent Separation Bubble," AIAA SCITECH 2023 Forum, Jan. 2023, doi: 10.2514/6.2023-0079.
Presenters
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Sasindu N Pinto
Illinois Institute of Technology
Authors
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Sasindu N Pinto
Illinois Institute of Technology
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Ross Richardson
Florida State University
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Mostafa Aghaei Jouybari
John Hopkins University, Johns Hopkins University
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Yang Zhang
Illinois Institute of Technology
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Jung-Hee Seo
Johns Hopkins Univ, Johns Hopkins University
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Louis N Cattafesta
Illinois Institute of Technology
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Rajat Mittal
Johns Hopkins University, Johns Hopkins
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Charles Meneveau
Johns Hopkins University