2019
DOI: 10.1007/s00193-019-00895-2
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Large eddy simulation of acoustic waves generated from a hot supersonic jet

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Cited by 26 publications
(19 citation statements)
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“…For M j = 2, in Fig. 9(a,b,d), the inclination angle of the acoustic waves significantly increases with temperature, as noticed in the numerical studies of Nonomura et al [28] and Liu et al [6], for instance. This increase is mainly explained by the higher velocities of jetT2Mj2 and jetT4Mj2 in comparison with jetT1Mj2.…”
Section: B Near Pressure Fieldsupporting
confidence: 61%
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“…For M j = 2, in Fig. 9(a,b,d), the inclination angle of the acoustic waves significantly increases with temperature, as noticed in the numerical studies of Nonomura et al [28] and Liu et al [6], for instance. This increase is mainly explained by the higher velocities of jetT2Mj2 and jetT4Mj2 in comparison with jetT1Mj2.…”
Section: B Near Pressure Fieldsupporting
confidence: 61%
“…Any parametric investigation of temperature effects in high-speed jets requires a meticulous control over the flow conditions at the nozzle exit. Indeed, the shape of the velocity profile, the turbulence rates, as well as the state of the nozzle boundary layer can affect noise generation [25][26][27][28]. In supersonic jets, an additional complexity comes from the formation of shock cells in and downstream of the nozzle.…”
Section: Introductionmentioning
confidence: 99%
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“…In order to favor the transition of the shear layers from a laminar to a turbulent state, weak random vortical disturbances are added inside the boundary layer. They are Gaussian vortex rings of random phases and amplitudes, as in previous studies of subsonic [37] and supersonic [38,39] jets. Their amplitude is tuned in order to yield maximum turbulence intensities of 3% at the nozzle exit so that the shear layers are initially in a weakly disturbed state.…”
Section: Simulation Parameters a Jet Parametersmentioning
confidence: 72%
“…Over the past decade, large-eddy simulation (LES) has emerged as a promising alternative for prediction of turbulent flows behavior. This methodology is currently being applied to a wide variety of engineering applications, including combustion [20][21][22][23][24][25][26][27], simulations of the wind turbine [28], acoustics [29][30][31][32], combustion noise [33,34] and several studies of SBLI [35,36]. To illustrate, Koo and Raman [37] applied the dynamic Smagorinsky subgrid model for supersonic inlet of an isolator and they found that this model is suitable for capturing the large-scale features of the unstart process.…”
Section: Introductionmentioning
confidence: 99%