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The Acoustic Analogy- A Powerful Tool in Aeroacoustics with Emphasis on Jet Noise Prediction
Author(s) -
F. Farassat,
Michael J. Doty,
Craig Hunter
Publication year - 2004
Publication title -
28th aiaa/ceas aeroacoustics 2022 conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2004-2872
Subject(s) - aeroacoustics , emphasis (telecommunications) , analogy , jet noise , acoustics , noise (video) , jet (fluid) , computational aeroacoustics , jet engine , computer science , physics , engineering , aerospace engineering , artificial intelligence , telecommunications , philosophy , sound pressure , epistemology , image (mathematics)
The acoustic analogy introduced by Lighthill to study jet noise is now over 50 years old. In the present paper, Lighthill s Acoustic Analogy is revisited together with a brief evaluation of the state-of-the-art of the subject and an exploration of the possibility of further improvements in jet noise prediction from analytical methods, computational fluid dynamics (CFD) predictions, and measurement techniques. Experimental Particle Image Velocimetry (PIV) data is used both to evaluate turbulent statistics from Reynolds-averaged Navier-Stokes (RANS) CFD and to propose correlation models for the Lighthill stress tensor. The NASA Langley Jet3D code is used to study the effect of these models on jet noise prediction. From the analytical investigation, a retarded time correction is shown that improves, by approximately 8 dB, the over-prediction of aft-arc jet noise by Jet3D. In experimental investigation, the PIV data agree well with the CFD mean flow predictions, with room for improvement in Reynolds stress predictions. Initial modifications, suggested by the PIV data, to the form of the Jet3D correlation model showed no noticeable improvements in jet noise prediction.

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