Noise prediction for serrated leading-edges

Benshuai Lyu, Mahdi Azarpeyvand, Samuel Sinayoko

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

30 Citations (Scopus)

Abstract

Amiet’s theory offers an efficient and accurate means of predicting trailing edge and leading edge noise, but it assumes that the edge is straight and cannot be applied to serrated edges. Serrations are known to be effective at reducing trailing edge and leading edge noise, but little theoretical work has been carried out on predicting the amount of noise reduction. A recently developed model that generalises Amiet’s theory for trailing edge noise with sawtooth trailing edges predicts noise reduction levels of 5-10 dB that are close to experimental measurements. Such generalised Amiet’s theory has yet to be developed for serrated leading edges. There is currently no analytical model that is applicable to serrated leading edges, and such model could play a key role in the design of quieter turbofan engines. This paper derives a generalised Amiet model for predicting leading edge noise with a sawtooth leading edge and validates the noise prediction against experimental results. This work will shed light into the noise reduction mechanism due to serrated leading edges and will help design more effective serrations.

Original languageEnglish
Title of host publication22nd AIAA/CEAS Aeroacoustics Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
ISBN (Print)9781624103865
DOIs
Publication statusPublished - 1 Jan 2016
Event22nd AIAA/CEAS Aeroacoustics Conference, 2016 - Lyon, France
Duration: 30 May 20161 Jun 2016

Publication series

Name22nd AIAA/CEAS Aeroacoustics Conference, 2016

Conference

Conference22nd AIAA/CEAS Aeroacoustics Conference, 2016
Country/TerritoryFrance
CityLyon
Period30/05/161/06/16

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