Prediction of far-field noise from installed corrugated nozzles

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2024-05-30

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AIAA

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Conference paper

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Free to read from

Citation

de Souza FJ, Lawrence J, Cruz RH, Proenca A. (2024) Prediction of far-field noise from installed corrugated nozzles. In: 30th AIAA/CEAS Aeroacoustics Conference (2024), 04-07 June 2024, Rome, Italy, Article number 2024-3310

Abstract

In this study, a reduced order model, devised by Lyu and Dowling, is used to predict the farfield installation noise of corrugated nozzles installed beneath a NACA aerofoil. A complementary investigation, detailed in another paper, reveals that employing square corrugations near the nozzle lip diminishes jet-surface interaction (JSI) noise compared to a round 40-mm diameter nozzle. This reduction is particularly notable for Strouhal numbers ranging from 0.3 to 0.9 and at high polar angles. The near-field pressure data, required for Lyu and Dowling’s model, is gathered using a circular array consisting of eight 1/8-inch microphones in the Doak Laboratory, at the University of Southampton, UK. Generally, the predictions align well with the experimental trends for Mach numbers ranging from 0.4 to 1 under static ambient flow conditions. Furthermore, it is observed that a minimum of four azimuthal modes must be available to accurately predict the noise generated by the corrugated nozzles. The effects of free-stream Mach number, particularly focusing on the predictive capacity of Lyu and Dowling’s model, are also investigated. Quantitative agreement at Strouhal numbers between 0.1 and 0.5 in evidenced.

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Attribution 4.0 International

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This work is funded by the Innovate UK Research Programme FANTASIA - Future Aircraft Noise Technologies And Systems Integration Analytics (ref. 74217). The authors would also like to acknowledge the support provided by the Rolls-Royce University Technology Centre for Propulsion Systems Noise, within the Institute of Sound and Vibration Research at the University of Southampton. The first author would also like to thank the Federal University of Uberlandia.