Large-Eddy Simulations of Perfectly-Expanded Supersonic Jets: Quality Assessment and Validation

Mendez, Simon; Shoeybi, Mohammad; Sharma, Arjun; Ham, Frank

doi:10.2514/6.2010-271

Cited by 44 publications

(38 citation statements)

References 36 publications

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“…The nozzle geometry and operating conditions matched those of the test cases previously conducted at UTRC Acoustics Research Tunnel (ART) (see Schlinker et al (2008)). Despite the similarity in the physics of flow, the main difference of current work to the most recent work of Mendez et al (2009Mendez et al ( , 2010 is:…”

Section: Introductioncontrasting

confidence: 40%

“…They demonstrate that a pressure-based variant of the original formulation can reduce this error. This conclusion was revisited and verified in a recent work of Mendez et al (2010). According to these studies, the pressure formulation is best-suited for noise prediction of hot supersonic jets and is applied in the present work.…”

Section: Calculation Of Farfield Noisementioning

confidence: 99%

“…The effect of propulsion system design choices including integration with the airframe can be methodically, and effectively addressed within such a framework. Most recently, Mendez et al (2009Mendez et al ( , 2010 have successfully applied unstructured LES scheme of Shoeybi et al (2009) and predicted the noise emitted from supersonic jets and compared the result to the experiments carried out by Bridges & Wernet (2008). An important lesson learned from previous research on computational aeroacousitcs is that a numerical method suitable for accurate prediction of noise requires extra care in many different aspects.…”

Section: Introductionmentioning

confidence: 99%

“…The motivation for devising this algorithm was that in previous published LES attempts, the azimuthal resolution of the mesh was far less than the axial and radial resolution, in particular in the vicinity of the nozzle lip (see Mendez et al (2010); Shur et al (2005a,b); Spalart et al (2007)). Figure 1 demonstrates an LES grid generated for the nozzle geometry of interest.…”

Section: Mesh Generation and Pre-processingmentioning

confidence: 99%

See 3 more Smart Citations

Unstructured Large Eddy Simulation Technology for Prediction and Control of Jet Noise

Khalighi

Ham

Moin

et al. 2010

Volume 1: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Education; Electric Power; Manufacturing Materials An

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Development of concepts for reduction of jet noise has relied heavily on expensive experimental testing of various nozzle designs. For example, the design of nozzle serrations (chevron) and internal mixer/ejector nozzles have relied largely on laboratory and full-scale testing. Without a deeper understanding of the sources of high-speed jet noise it is very difficult to effectively design configurations that reduce the noise and maintain other performance metrics such as nozzle thrust. In addition, the high complexity of the flow limits the success of a parametric black-box optimization.

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Section: Introductioncontrasting

confidence: 40%

Section: Calculation Of Farfield Noisementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Mesh Generation and Pre-processingmentioning

confidence: 99%

See 2 more Smart Citations

Unstructured Large Eddy Simulation Technology for Prediction and Control of Jet Noise

Khalighi

Ham

Moin

et al. 2010

Volume 1: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Education; Electric Power; Manufacturing Materials An

Self Cite

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“…Further investigations of jet noise components can now be carried out directly by solving the Navier-Stokes equations [17,33,34], especially using large-eddy simulation (LES) for flows at highReynolds numbers [35]. Such simulations have, for instance, been performed by Bogey et al [15,36,37] in order to study the influence of the Reynolds number and of the initial conditions in subsonic jets, by Viswanathan et al [38] and Liu et al [39] to improve the prediction of broadband shock-associated noise and screech tone for real nozzle geometries, and by Berland et al [22] to investigate screech tone generation in a plane supersonic jet.…”

mentioning

confidence: 99%

Investigation of a High-Mach-Number Overexpanded Jet Using Large-Eddy Simulation

2011

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An initially laminar overexpanded round jet at an exit Mach number of 3.30 and a Reynolds number of 10 5 is calculated by compressible large-eddy simulation. The near field obtained by large-eddy simulation is also propagated to the acoustic far field by solving the full Euler equations to take into account the nonlinear propagation effects. Both computations are performed using low-dissipation finite differences in combination with an adaptive shock-capturing method. The jet originates from a straight pipe nozzle of radius r e , including lips of thickness 0:05r e . At the pipe exit, Blasius mean flow profiles are imposed, and static pressure and temperature are equal to 0:5 10 5 Pa and 360 K, resulting in fully adapted and acoustic Mach numbers, respectively, of 2.83 and 3.47. The jet flowfields, as well as the acoustic near and far fields, are described in detail and compared with data of the literature. The turbulent mechanisms developing in the jet are investigated, using spectral and azimuthal decompositions of the velocity fluctuations along the shear layers. Same analyses are applied to the acoustic fields, in order to discuss the properties of jet noise components. In this way, Mach waves, shock-associated noise, screech tones, and turbulent mixing noise are identified. = first shock location on the jet axis = specific heat ratio r = mesh size in the radial direction z = mesh size in the axial direction = boundary-layer thickness in the pipe nozzle 0:5 = jet half-width e = exit molecular viscosity e = exit density = radiation angle measured according to the flow direction

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Turbulent Jet Noise Simulation and Propagation Using a 3rd Order MUSCL/CD Scheme on Unstructured Grid and Ffowcs-Williams Hawkings

Caraeni

West

Caraeni

2016

Springer Proceedings in Physics

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Large-Eddy Simulations of Perfectly-Expanded Supersonic Jets: Quality Assessment and Validation

Cited by 44 publications

References 36 publications

Unstructured Large Eddy Simulation Technology for Prediction and Control of Jet Noise

Unstructured Large Eddy Simulation Technology for Prediction and Control of Jet Noise

Investigation of a High-Mach-Number Overexpanded Jet Using Large-Eddy Simulation

Turbulent Jet Noise Simulation and Propagation Using a 3rd Order MUSCL/CD Scheme on Unstructured Grid and Ffowcs-Williams Hawkings

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