4.7 Article

Active control of pressure fluctuations in an incompressible turbulent cavity flow

Journal

AEROSPACE SCIENCE AND TECHNOLOGY
Volume 141, Issue -, Pages -

Publisher

ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.ast.2023.108512

Keywords

Turbulent cavity flow; Large -eddy simulation; Active control

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Large-eddy simulations are conducted to investigate the effects of wall-normal steady blowing on the suppression of pressure fluctuations on the cavity walls. When the momentum coefficient (Cμ) is 0.015, a maximum reduction of -7.61% in pressure fluctuations is observed. However, when Cμ>0.05, the pressure fluctuations gradually increase.
Large-eddy simulations of incompressible turbulent boundary layer flows over an open cavity are conducted to investigate the effects of wall-normal steady blowing on the suppression of pressure fluctuations on the cavity walls. The length (L) to depth (D) ratio (L/D) of the cavity is 2 and the Reynolds number based on the cavity depth (ReD) is 12,000. Wall-normal steady blowing is imposed through a limited transverse slot in an upstream region of the cavity leading edge while varying the momentum coefficient (C & mu;). As the value of C & mu; increases, the pressure fluctuations on the cavity walls decrease mostly due to weakened impingement of turbulent vortical structures residing in the shear layer on the aft wall by lifting effects, reaching a maximum reduction of -7.61% compared to a baseline when C & mu; = 0.015. However, as the value of C & mu; increases further, the pressure fluctuations increase gradually, exceeding that of a baseline when C & mu; > 0.05. Because intensified turbulent vortical structures in the shear layer with an increase of C & mu; lead to strong interactions of small-scale vortices with the cavity walls with an accompanying large motion of the primary recirculation zone within the cavity, additional pressure fluctuations generated on the cavity walls deteriorate the control performance due to the blowing. & COPY; 2023 Elsevier Masson SAS. All rights reserved.

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