Towards a Comprehensive Model of Jet Noise using an Acoustic Analogy and Steady RANS Solutions

Miller, Steven A.

doi:10.2514/6.2013-2278

Cited by 5 publications

(3 citation statements)

References 46 publications

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“…A similar relation was built into the frequency-dependent scale model used by Leib and Goldstein [15]. More recently, Miller [16] proposed a new frequency-dependent length scale model that is based on the works of Morris and Zaman [17], Morris and Boluriaan [14], and Leib and Goldstein [15]. Several of these models will be implemented in the current work in the attempt to improve high-frequency predictions of the original Morris and Miller model [6].…”

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confidence: 99%

Broad band shock associated noise predictions in axisymmetric and asymmetric jets using an improved turbulence scale model

Kalyan

Karabasov

2017

Journal of Sound and Vibration

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Supersonic jets that are subject to off-design operating conditions are marked by three distinct regions in their far-field spectra: mixing noise, screech and Broadband Shock Associated Noise (BBSAN). BBSAN is conspicuous by the prominent multiple peaks. The Morris and Miller BBSAN model that is based on an acoustic analogy, offering a straightforward implementation for RANS, forms the foundation of the present work. The analogy model robustly captures the peak frequency noise, that occurs near Strouhal number of about 1, based on the nozzle exit diameter but leads to major sound under prediction for higher frequencies. In the jet mixing noise literature, it has been shown that an inclusion of frequency dependence into the characteristic length and temporal scales of the effective noise sources improves the far-field noise predictions. In the present paper, several modifications of the original Morris and Miller model are considered that incorporate the frequency dependent scales as recommended in the jet mixing noise literature. In addition to these, a new mixed scale model is proposed that incorporates a correlation scale that depends both on the mean-flow velocity gradient and the standard mixing noise-type scaling based on the dissipation of turbulent kinetic energy. In comparison with the original Morris and Miller model, the mixed scale model shows considerable improvements in the noise predictions for the benchmark axisymmetric convergent-divergent and convergent jets. Further to this validation, the new model has been applied for improved predictions for elliptic jets of various eccentricity. It has been shown that,

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Broad band shock associated noise predictions in axisymmetric and asymmetric jets using an improved turbulence scale model

Kalyan

Karabasov

2017

Journal of Sound and Vibration

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“…Finally, the same shock-cell structure can support an aeroacoustic feedback loop within the plume that induces strong discrete (screech) tones that are observed at St ≈ 0.4 and 0.8. The dashed-dot-dot line represents a prediction of the mixing noise by Miller,19 which is a modern acoustic analogy. The dashed-dot line represents a prediction of the BBSAN by Miller and Morris 20 based on the model of Morris and Miller.…”

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confidence: 99%

The prediction of noise due to jet turbulence convecting past flight vehicle trailing edges

Miller

2015

Applied Acoustics

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High intensity acoustic radiation occurs when turbulence convects past airframe trailing edges. A mathematical model is developed to predict this acoustic radiation. The model is dependent on the local flow and turbulent statistics above the trailing edge of the flight vehicle airframe. These quantities are dependent on the jet and flight vehicle Mach numbers and jet temperature. A term in the model approximates the turbulent statistics of singlestream heated jet flows and is developed based upon measurement. The developed model is valid for a wide range of jet Mach numbers, jet temperature ratios, and flight vehicle Mach numbers. The model predicts traditional trailing edge noise if the jet is not interacting with the airframe. Predictions of mean-flow quantities and the cross-spectrum of static pressure near the airframe trailing edge are compared with measurement. Finally, predictions of acoustic intensity are compared with measurement and the model is shown to accurately capture the phenomenon.

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“…Following this approach, the relevant correlation scales and the amplitude of the acoustic source are approximated by turbulence scales obtained from the RANS solution with some calibration parameters based on matching the model predictions to the far-field noise spectra. More recent modifications of the same model make use of frequencydependent correlation scales for which semi-empirical relations adopted from the jet mixing noise literature were implemented (Miller, 2013). As with the original Tam shock-associated noise model (Tam, 1975), the Morris and Miller (2010) model captures the general shape and the peak of the shock-associated noise well, but tends to under-predict the roll-off of the acoustic spectra at high frequencies.…”

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confidence: 99%

Broadband shock-associated noise modelling for high-area-ratio under-expanded jets

Gryazev

Kalyan

Markesteijn

et al. 2021

The Journal of the Acoustical Society of America

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Broadband Shock Associated Noise (BBSAN) is an important component of supersonic jet noise for jets at off-design conditions when the pressure at the nozzle exit is different from the ambient.Two high area ratio under-expanded supersonic jets at Nozzle Pressure Ratios (NPRs) 3.4 and 4.2 are considered. The jets correspond to conditions of the experiment in the Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC) in the Supersonic Jet Facility of Monash University. Flow solutions are obtained by the Large Eddy Simulation (LES) and Reynolds Averaged Navier-Stokes (RANS) methods. The solutions are validated against the Particle Image Velocimetry (PIV) data. For noise spectra predictions, the LES solution is combined with the timedomain Ffowcs Wiliams -Hawkings method. To probe accuracy of the reduced-order method based on acoustic analogy, the RANS solutions are substituted in the Morris and Miller BBSAN method, where different options for modelling of the acoustic correlation scales are investigated. The noise spectra predictions are compared with the experimental data from the non-anechoic LTRAC facility and the NASA empirical sJet model. Apart from the low-frequencies influenced by the jet mixing noise, the RANS-based acoustic predictions align with those from LES for most frequencies in the range of Strouhal numbers (St) 0.4

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Towards a Comprehensive Model of Jet Noise using an Acoustic Analogy and Steady RANS Solutions

Cited by 5 publications

References 46 publications

Broad band shock associated noise predictions in axisymmetric and asymmetric jets using an improved turbulence scale model

Broad band shock associated noise predictions in axisymmetric and asymmetric jets using an improved turbulence scale model

The prediction of noise due to jet turbulence convecting past flight vehicle trailing edges

Broadband shock-associated noise modelling for high-area-ratio under-expanded jets

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