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The Role of Flow Diagnostic Techniques in Fan and Open Rotor Noise ModelingA principal source of turbomachinery noise is the interaction of the rotating and stationary blade rows with the perturbations in the airstream through the engine. As such, a lot of research has been devoted to the study of the turbomachinery noise generation mechanisms. This is particularly true of fan and open rotors, both of which are the major contributors to the overall noise output of modern aircraft engines. Much of the research in fan and open rotor noise has been focused on developing theoretical models for predicting their noise characteristics. These models, which run the gamut from the semi-empirical to fully computational ones, are, in one form or another, informed by the description of the unsteady flow-field in which the propulsors (i.e., the fan and open rotors) operate. Not surprisingly, the fidelity of the theoretical models is dependent, to a large extent, on capturing the nuances of the unsteady flowfield that have a direct role in the noise generation process. As such, flow diagnostic techniques have proven to be indispensible in identifying the shortcoming of theoretical models and in helping to improve them. This presentation will provide a few examples of the role of flow diagnostic techniques in assessing the fidelity and robustness of the fan and open rotor noise prediction models.
Document ID
20170000015
Acquisition Source
Glenn Research Center
Document Type
Presentation
Authors
Envia, Edmane
(NASA Glenn Research Center Cleveland, OH United States)
Date Acquired
January 3, 2017
Publication Date
April 11, 2016
Subject Category
Acoustics
Aircraft Propulsion And Power
Report/Patent Number
GRC-E-DAA-TN31132
Report Number: GRC-E-DAA-TN31132
Meeting Information
Meeting: International Symposium on Transport Phenomena and Dynamics of Rotating Machinery
Location: Honolulu, HI
Country: United States
Start Date: April 19, 2016
End Date: April 15, 2016
Sponsors: The LML laboratory at Arts et Metiers ParisTech, The Splash Lab at Utah State University, and The Pacific Center of Thermal Fluids Engineering
Funding Number(s)
WBS: WBS 081876.02.03.50.03.06
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Noise Prediction
Aircraft Noise
Aeroacoustics
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