13th AIAA/CEAS Aeroacoustics Conference (28th AIAA Aeroacoustics Conference) 2007
DOI: 10.2514/6.2007-3638
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Noise Radiation Predictions from Jet Instability Waves Using a Hybrid Nonlinear PSE-Acoustic Analogy Approach

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Cited by 21 publications
(20 citation statements)
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“…The current mechanism only applies to subsonic jets. At high Mach numbers the sound radiation comes directly from the primary instability (Tam & Morris 1980; also shown clearly in the PSE of Cheung et al 2007). Salgado (2007) carried out linear PSE for a range of Mach numbers.…”
Section: Discussionmentioning
confidence: 99%
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“…The current mechanism only applies to subsonic jets. At high Mach numbers the sound radiation comes directly from the primary instability (Tam & Morris 1980; also shown clearly in the PSE of Cheung et al 2007). Salgado (2007) carried out linear PSE for a range of Mach numbers.…”
Section: Discussionmentioning
confidence: 99%
“…Thus there is no interaction between the base flow and the growing instabilities, which ought to be linked via Reynolds stresses. This effect can be brought into the PSE model, either using an energy equation as in Morris et al (1990) or by performing a fully nonlinear PSE as in Cheung et al (2007). It should be noted however that nonlinear PSE is not the same as the present nonlinear interaction approach.…”
Section: Discussionmentioning
confidence: 99%
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“…The contents of the matrices can be found for example in Hein (2005). PSE has recently been applied to jet noise by Cheung et al (2007). Linear PSE was found to be able to predict noise from supersonic jets, while nonlinear PSE, together with an acoustic analogy was needed for subsonic jet noise.…”
Section: B Parabolized Stability Equationsmentioning
confidence: 99%
“…The parabolized stability equations (PSEs) provide an efficient way to compute unsteady perturbations about base flows, which organize into wavepackets for subsonic jets [145,146]. While this method has proved successful for subsonic jet noise [147], low-frequency noise from hot supersonic jets remains difficult to predict [148].…”
Section: (A) Trends In Hpc: Towards Exascale Computingmentioning
confidence: 99%