An experimental investigation on the unsteady pressure field induced by an installed jet in supersonic flow conditions

Meloni, Stefano; Camussi, Roberto; Prestianni, Mirko; Paola, Elisa de; Biondo, Francesco

doi:10.2514/6.2021-2119

Cited by 2 publications

(3 citation statements)

References 24 publications

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“…Finally, comparisons in terms of wall pressure fluctuations between results previously obtained using an infinite flat plate [13] were reported in fig. 7 for two different NPRs.…”

Section: Wall Pressure Fluctuationsmentioning

confidence: 92%

“…Recently, Camussi et al 2021 [12] extended the analysis using a convergent nozzle in underexpanded flow conditions, highlighting the signature on the wall pressure load of the BBSAN and of the Screech tones, using an infinite flat plate. This analysis has put the basis of the work provided in [13] which investigated the jet induced wall pressure fluctuation using a convergentdivergent nozzle, thus characterizing the different flow conditions: over-expanded and underexpanded.…”

Section: Introductionmentioning

confidence: 99%

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On the Wall Pressure Fluctuations induced by a Supersonic Jet over the Wing pressure side

Meloni

Paola

Curcio³

et al. 2022

J. Phys.: Conf. Ser.

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Supersonic jet wing integrated configurations are expected to be relatively louder than subsonic installed configurations, increasing the wall pressure load transmitted inside the fuselage and stressing the wing/fuselage panels with very energetic and frequency localized supersonic effects. In this framework, a model-scale experimental investigation of an installed jet-wing configuration has been performed using a supersonic convergent-divergent nozzle interacting with a wing generated by a NACA4415 airfoil. The measurements have been carried out in the semi-anechoic chamber of the “G.Guj” Fluid Dynamic laboratory at the University Roma Tre. Wall pressure fluctuations are acquired at different axial locations in stream-wise and span-wise directions. Measurements are repeated for different wing radial positions and by varying the NPR between 2.2 and 2.6, thus exploring both over-expanded and under-expanded jet flow conditions. The flow features that characterize the different flow regimes were caught using the Background Oriented Schlieren (BOS) technique. Fluctuating pressure data, acquired with flush-mounted pressure transducers, were analysed in the frequency domain, considering a Fourier-based approach. A comparison of results obtained with an infinite flat plate has been used to highlight effects generated by the discontinuity related to the trailing edge.

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“…Finally, comparisons in terms of wall pressure fluctuations between results previously obtained using an infinite flat plate [13] were reported in fig. 7 for two different NPRs.…”

Section: Wall Pressure Fluctuationsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

On the Wall Pressure Fluctuations induced by a Supersonic Jet over the Wing pressure side

Meloni

Paola

Curcio³

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

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“…The relevance of the physical problem presented in this work lies in the fact that during the cruise phase, due to the combined effect of low external static pressure and required thrust to maintain the flight Mach number, the jet exhausting flow is under-expanded [16,17]. This nozzle condition generates a jet plume with a complex flow pattern characterized by a series of oblique compression and expansion waves that form the so-called shock-cell sequence [18]. The presence of these complex flow structures introduces further sound generation mechanisms, likes Broadband Shock Associated noise (BBSAN) and Screech tones that are in addition to the turbulent jet mixing noise also present in the subsonic case.…”

Section: Introductionmentioning

confidence: 99%

Under-expanded jet noise prediction using surrogate models based on artificial neural networks

Centracchio

Meloni

Jawahar

et al. 2022

28th AIAA/CEAS Aeroacoustics 2022 Conference

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The use of surrogate models in recent times plays a key role in the design process and, over the past few years, machine learning algorithms are adapting to the use of active metamodelling techniques. In the present study, Artificial Neural Networks formulation is used as a datadriven nonlinear model aimed at describing the dynamics of an experimental test campaign related to the noise emitted by a single-stream jet in under-expanded conditions. The architecture of the neural network is selected employing a deterministic optimization algorithm, coupled with data informed tuning of the input parameters. The data set explored here was acquired in the state-of-the-art aeroacoustic facility at the University of Bristol. Both the nearand far-field acoustic measurements were carried out for a cold under-expanded jet for Mach numbers ranging from 1.1 to 1.4. The predictions by the metamodel are in good agreement with the experimental data, and the results demonstrate the capability of metamodels as a reliable tool to estimate jet noise in under-expanded flow conditions for a wide range of Mach numbers and near-field locations.

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An experimental investigation on the unsteady pressure field induced by an installed jet in supersonic flow conditions

Cited by 2 publications

References 24 publications

On the Wall Pressure Fluctuations induced by a Supersonic Jet over the Wing pressure side

On the Wall Pressure Fluctuations induced by a Supersonic Jet over the Wing pressure side

Under-expanded jet noise prediction using surrogate models based on artificial neural networks

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