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Gradient-Based Propeller Optimization with Acoustic ConstraintsUrban Air Mobility vehicles are intended to operate near or within large cities, where a significant portion of the public will be exposed to the noise they create. If these vehicles are to become acceptable to the public, designers must be able to manage the amount of noise they generate, and understand the relationship between traditional performance metrics (thrust, efficiency, etc.) and noise. As a first step to addressing this need, this work combines a blade element momentum theory tool (OpenBEMT) with an acoustic prediction tool (ANOPP2) to optimize a propeller subject to both aerodynamic and acoustic constraints. These tools are developed within a optimization framework (OpenMDAO) that allows analytic derivatives to be propagated through the models and passed to a gradient-based optimizer. This tool chain is exercised on the cruise propellers from the X-57 Maxwell, and yields propeller designs that reduced the overall sound pressure level by about 5 dB for a cost of 1% propeller efficiency.
Document ID
Acquisition Source
Glenn Research Center
Document Type
Conference Paper
Ingraham, Daniel
(NASA Glenn Research Center Cleveland, OH, United States)
Gray, Justin
(NASA Glenn Research Center Cleveland, OH, United States)
Lopes, Leonard V.
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
May 2, 2019
Publication Date
January 7, 2019
Subject Category
Aircraft Design, Testing And Performance
Report/Patent Number
Meeting Information
Meeting: SCITECH 2019 (AIAA)
Location: San Diego, CA
Country: United States
Start Date: January 7, 2019
End Date: January 11, 2019
Sponsors: American Institute of Aeronautics and Astronautics (AIAA)
Funding Number(s)
WBS: 109492.
Distribution Limits
Work of the US Gov. Public Use Permitted.
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