Novel Methodology for the Rapid Acoustic Optimization of Supersonic Multi-Stream 3D Nozzles, Phase I

Metadata Updated: February 28, 2019

Current noise prediction methods are ill-suited for the design of future nozzle geometries as they are either too computationally expensive or do not contain the necessary physics to adequately predict noise from desired nozzle types. As such, there is a need for innovative technologies and methods for noise prediction to enable acoustic optimization of multi-stream, 3D nozzle to meet the noise goals for NASA[HTML_REMOVED]s N+2/N+3 aircraft. We propose to extend the Reynold Averaged Navier-Stokes (RANS) based models developed at University of California, Irvine, that have been shown to accurately predict noise for nozzles 3D, multi-stream nozzles. Our proposed method will allow for accurate and rapid prediction of acoustic emission on engineering workstation-class computers, enabling design engineers to perform acoustic optimization while preserving aerodynamic performance.[HTML_REMOVED] Our competent team has over 60 years of combined experience in jet noise and has the expertise to ensure that an accurate RANS-based noise model is developed by the end of Phase II along with a working acoustic optimization tool that is usable by engineers and compatible with NASA[HTML_REMOVED]s design framework.

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date February 28, 2019
Metadata Updated Date February 28, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date February 28, 2019
Metadata Updated Date February 28, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_94697
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id deb3d1ac-54ac-4a9b-8f0a-3c7f7b2dbb17
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2019-01-01
Homepage URL
Data Last Modified 2018-09-07
Program Code 026:027
Source Datajson Identifier True
Source Hash e070615a400eda45a4ede4b84acb66314ceaa890
Source Schema Version 1.1

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