The effect of incoming boundary layer thickness and Mach number on linear and nonlinear Rossiter modes in open cavity flows

Mathias, Marlon Sproesser; Medeiros, Marcello Augusto Faraco de

doi:10.1007/s00162-021-00570-2

Cited by 9 publications

(3 citation statements)

References 34 publications

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“…No additional modes appeared, indicating that the transition from a high subsonic to supersonic flow regime altered the non-linear interaction between the dominant fluid structures inside the cavity, making the Rossiter-Heller modes dominant. This is in agreement with previous studies [62,63]. Operating the fluidic spoilers did not change the qualitative aspect of the spectrum (Fig.…”

Section: Mach 12supporting

confidence: 94%

Hilbert–Huang Spectral Analysis of Cavity Flows Incorporating Fluidic Spoilers

Bacci

Saddington

2023

AIAA Journal

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Numerical aero-acoustic analysis was conducted on an M219 cavity geometry, incorporating signature suppression features and leading-edge fluidic spoilers. The numerical model was validated against existing experimental data. The palliative properties of fluidic spoilers were investigated at Mach numbers of 0.85, 1.20 and 1.80 with blowing coefficients of 0.03 and 0.06. Results are presented for the acoustic spectrum and further analysis was conducted using the Hilbert-Huang methodology. The fluidic spoilers were able to reduce considerably the overall level of acoustic noise and to reduce and/or suppress the resonant modes typical of cavity flows. The effectiveness of the spoilers was a direct consequence of their effect on the detached shear layer, of which the trajectory and coherence was altered. The Hilbert-Huang spectral analysis provided an enhanced understanding of the complex nature of the aero-acoustic behavior of the cavity. Acoustic modes were identified that, together with the Rossiter-Heller tones, govern the behavior of the spectrum. This demonstrated how the generated tones, appearing inside the cavity, were a result of complex non-linear interactions between shear layer acoustic instabilities and centrifugal instabilities originating in the flow recirculating in the internal part of the cavity. This also demonstrated that the fundamental frequencies had frequency and amplitude modu-

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Section: Mach 12supporting

confidence: 94%

Hilbert–Huang Spectral Analysis of Cavity Flows Incorporating Fluidic Spoilers

Bacci

Saddington

2023

AIAA Journal

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“…At Mach 0. Previous studies ( [32,33]) indicated that boundary layer thickness influences the acoustic response of a cavity. In general, high values of 𝛿/𝐷 ratios induce a damping effect, reducing acoustic oscillations and the appearance of resonant modes, whilst the opposite is true for low values of 𝛿/𝐷.…”

Section: A Aero-acoustic Analysis 1 Mean Flow Analysismentioning

confidence: 99%

Angle of Attack Effects on the Induced Structural Loads of a Weapons Bay

Bacci,

Saddington

2024

Preprint

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Aero-acoustic analysis was conducted on a weapons bay numerical model with doors, incorporating radar cross section reduction features. The effect of angle of attack on the aero-acoustic response of the cavity was analysed at Mach numbers of 0.85 and 1.20. It was found that incidence influenced both mean-flow features and acoustic response. Further, linear and angular accelerations induced by the flow on the bay doors revealed potential adverse fluid-structure coupling when the results were compared with modal analysis. Again, the angle of attack did influence the aeroacoustic effects on the cavity door structure.

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“…A cavity flow is characterized by the distribution of the longitudinal surface pressure on the cavity floor [1][2][3]. The type of flowfield (open, transitional, or closed) is primarily a function of the ratio between the length, l, and the depth, h (l/h).…”

Section: Introductionmentioning

confidence: 99%

Mode Switching in a Compressible Rectangular Cavity Flow

Huang

Chung

2023

Aerospace

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This study determines the mean and fluctuating pressures for flow through a rectangular shallow cavity (ratio between the length and the depth = 2.43, 4.43, and 6.14; ratio between the length and the width = 0.5, 1.0, and 2.0) at a Mach number of 0.64 in a blowdown transonic wind tunnel. A amplitude modulation analysis is used for the post-processing of the fluctuating pressure signals. The spectral analysis (wavelet) shows the intermittent behavior of the discrete Rossiter–Heller modes. A correlation analysis determines that mode switching is more significant between the second and third modes (organized structures that are associated with shear layer vortices), particularly for two-dimensional and shallower cavities.

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The effect of incoming boundary layer thickness and Mach number on linear and nonlinear Rossiter modes in open cavity flows

Cited by 9 publications

References 34 publications

Hilbert–Huang Spectral Analysis of Cavity Flows Incorporating Fluidic Spoilers

Hilbert–Huang Spectral Analysis of Cavity Flows Incorporating Fluidic Spoilers

Angle of Attack Effects on the Induced Structural Loads of a Weapons Bay

Mode Switching in a Compressible Rectangular Cavity Flow

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