Cavity Flow over a Transonic Weapons Bay During Door Operation

Loupy, Gaëtan J.; Barakos, George N.; Taylor, Nigel J.

doi:10.2514/1.c034344

Cited by 18 publications

(25 citation statements)

References 36 publications

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“…The second and third modes appear after 17 travel times. The energy transfer from high to low frequencies may explains why cavity flow are so noisy, and fast to settle [43]. When the flow establishes, the shear layer hits the aft wall producing high frequency pressure waves reflecting inside the cavity.…”

Section: Analysis Of the Noise Generation Mechanismmentioning

confidence: 99%

Acoustic field around a transonic cavity flow

Loupy

Barakos

Kusyumov³

2017

International Journal of Aeroacoustics

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This paper describes new techniques for analysing cavity flows. The beamforming method is used to estimate the pressure fluctuations inside a resonant transonic cavity, highlighting the localisation of the sources of noise. The method produces insightful results and only requires the use of an acoustic array and a mean flow-field. The technique models the noise propagation in a simple and efficient way, applicable for wind tunnel test. In addition, this paper discusses the generation of the cavity tones. CFD results are analysed using a superposition of reflected acoustic waves driven by the cavity flow. This analysis shows that the time averaged flow-field drives the frequencies of the tones, while the flow-field fluctuations drive their amplitude. In addition, the tonal dynamics of the cavity flow are represented by a simple model with standing wave oscillations and their modulation. This work is complementary to the well established Rossiter cavity model.

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Section: Analysis Of the Noise Generation Mechanismmentioning

confidence: 99%

Acoustic field around a transonic cavity flow

Loupy

Barakos

Kusyumov³

2017

International Journal of Aeroacoustics

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“…The RMS values are computed for the dynamic cases over windows of 1.6 travel times, and the envelope is represented as figure 21. Adding the fully opened doors to the cavity, the RMS displacements are unchanged (see red bars in figures 23a and 23c), because of a small effect of the doors at the mid-span of the cavity, as also shown in reference [17]. During the dynamic opening, the fin displacements are increasing with the door angle ( Figure 23d), but not reaching larger values than the fully opened case.…”

Section: Store Aeroelasticity With Doorsmentioning

confidence: 53%

“…Table 7 summarises the computed cases. 29 ment as described in reference [17]. As soon, as the door opening begins, a jet appears between the doors and the cavity front lip (Figure 20a), producing disturbances at the cavity front.…”

Section: Store Aeroelasticity With Doorsmentioning

confidence: 98%

“…This corresponds using the selected CFD conditions, to a Strouhal number of 0.027, while the simulated opening speed, gives Strouhal numbers 0.047. This was selected based on earlier work [17] where fast door opening was seen to effect the store more. The store had a mass m s , was 90% of the cavity length, and had four fins in a cross configuration (Figure 2).…”

Section: Geometric and Computational Modelmentioning

confidence: 99%

“…Static doors are held at 20, 45, 90 and 110 degrees, and are dynamically moving from 0 to 110 degrees at 220deg/s. The computations are also compared with the results of reference [17] that presents similar computations, without the store. Table 7 summarises the computed cases.…”

Section: Store Aeroelasticity With Doorsmentioning

confidence: 99%

See 2 more Smart Citations

Multi-disciplinary Simulations of Stores in Weapon Bays using Scale Adaptive Simulation

Loupy

Barakos

Taylor

2018

2018 AIAA Aerospace Sciences Meeting

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This paper presents a set of cavity flow calculations involving door opening, store release and aeroelasticity. Aeroelastic effects were present, but secondary for the case at hand. For established bay flows, the structural excitation showed a directional dependence, and the structures were responding to the flow frequency content. Maximum store deformations were of about 2% of the store diameter. This is the first time where such effects are quantified for store releases from within bays. The store deformation while interacting with the shear layer, and the store trajectory variability are also quantified.1 PhD Student. g.loupy.1@research.gla.ac.uk 2 Professor, MAIAA, MRAeS, MAHS.

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Parallel aeroacoustic computation of unsteady transonic weapon bay using detached‐eddy simulation via open computational fluid dynamics source codes

Fadıl

Zafer

2023

Concurrency and Computation

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SummaryCavity flow research has been ongoing experimentally since the 1940s, especially for weapon bay use in fighter aircraft. Technology advancement has led to the beginning of simulations of experimental studies. The success of these simulations has increased with the emergence of High‐Performance Clusters, and simulation studies have started to take the role of experimental studies. In this paper, an open rectangular, unsteady transonic cavity with a length to depth ratio of 5, Mach number 0.85 and Reynolds number of approximately 6.5 × 106 is simulated using Computational Fluid Dynamics (CFD) on a High‐Performance Cluster. Likewise, cavity door is used to model a real weapon bay. Detached‐Eddy Simulation is used to resolve turbulent properties in the flow domain. Results compatible with experimental data are obtained with OpenFOAM, an open‐source CFD code based on the finite volume method. Additionally, computational costs are given in the clock‐time analysis section, and the necessity of high‐performance clusters for CFD and Computational Aeroacoustics studies is emphasized.

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Cavity Flow over a Transonic Weapons Bay During Door Operation

Cited by 18 publications

References 36 publications

Acoustic field around a transonic cavity flow

Acoustic field around a transonic cavity flow

Multi-disciplinary Simulations of Stores in Weapon Bays using Scale Adaptive Simulation

Parallel aeroacoustic computation of unsteady transonic weapon bay using detached‐eddy simulation via open computational fluid dynamics source codes

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