Influence of blade aerodynamic model on prediction of helicopter rotor aeroacoustic signatures
Kelly, Mary E. and Brown, Richard (2011) Influence of blade aerodynamic model on prediction of helicopter rotor aeroacoustic signatures. Journal of Aircraft, 48 (3). pp. 1058-1083. ISSN 0021-8669 (https://doi.org/10.2514/1.C031232)
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Abstract
Brown’s vorticity transport model has been used to investigate how the local blade aerodynamic model influences the quality of the prediction of the high-frequency airloads associated with blade–vortex interactions, and thus the accuracy with which the acoustic signature of a helicopter rotor can be predicted. The vorticity transport model can accurately resolve the structure of the wake of the rotor and allows significant flexibility in the way that the blade loading can be represented. The Second Higher-Harmonic Control Aeroacoustics Rotor Test was initiated to provide experimental insight into the acoustic signature of a rotor in cases of strong blade–vortex interaction. Predictions of two models for the local blade aerodynamics are compared with the test data. A marked improvement in accuracy of the predicted high-frequency airloads and acoustic signature is obtained when a lifting-chord model for the blade aerodynamics is used instead of a lifting-line-type approach. Errors in the amplitude and phase of the acoustic peaks are reduced, and the quality of the prediction is affected to a lesser extent by the computational resolution of the wake, with the lifting-chord model producing the best representation of the distribution of sound pressure below the rotor.
ORCID iDs
Kelly, Mary E. and Brown, Richard ORCID: https://orcid.org/0000-0003-2754-5871;-
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Item type: Article ID code: 36620 Dates: DateEventMay 2011PublishedSubjects: Technology > Mechanical engineering and machinery
Technology > Motor vehicles. Aeronautics. AstronauticsDepartment: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Pure Administrator Date deposited: 11 Jan 2012 09:15 Last modified: 11 Nov 2024 10:03 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/36620