TY - GEN
T1 - Noise control of supersonic cavity flow with upstream mass blowing
AU - Li, Weipeng
AU - Nonomura, Taku
AU - Fujii, Kozo
N1 - Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - The mechanism and efficiency of noise control in supersonic cavity flows with steady upstream mass blowing are numerically investigated. A slotted jet is placed in the upside of cavity leading edge. The mass blowing is simulated by specifying a vertical velocity ejecting through the slotted jet. The steady upstream mass blowing is an effective approach for the noise suppression in supersonic cavity flows. The strength of the resonant noise and the broadband noise are decreased with a delightful amplitude, that is, approximately 15 dB SPL decrease in the dominant mode and 5 dB SPL decrease in the broadband noise. Two primary mechanisms are addressed for the noise control with steady upstream mass blowing, lifting up of the cavity shear-layer and disruption of shear-layer instability.
AB - The mechanism and efficiency of noise control in supersonic cavity flows with steady upstream mass blowing are numerically investigated. A slotted jet is placed in the upside of cavity leading edge. The mass blowing is simulated by specifying a vertical velocity ejecting through the slotted jet. The steady upstream mass blowing is an effective approach for the noise suppression in supersonic cavity flows. The strength of the resonant noise and the broadband noise are decreased with a delightful amplitude, that is, approximately 15 dB SPL decrease in the dominant mode and 5 dB SPL decrease in the broadband noise. Two primary mechanisms are addressed for the noise control with steady upstream mass blowing, lifting up of the cavity shear-layer and disruption of shear-layer instability.
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U2 - 10.1007/978-3-642-31818-4_27
DO - 10.1007/978-3-642-31818-4_27
M3 - Conference contribution
AN - SCOPUS:84867823296
SN - 9783642318177
T3 - Notes on Numerical Fluid Mechanics and Multidisciplinary Design
SP - 315
EP - 324
BT - Progress in Hybrid RANS-LES Modelling
PB - Springer Verlag
ER -