Partial-field decomposition analysis of full-scale supersonic jet noise using optimized-location virtual references

2018 ◽  
Vol 144 (3) ◽  
pp. 1356-1367 ◽  
Author(s):  
Alan T. Wall ◽  
Kent L. Gee ◽  
Kevin M. Leete ◽  
Tracianne B. Neilsen ◽  
Trevor A. Stout ◽  
...  
Keyword(s):  
Supersonic Jet ◽  
Decomposition Analysis ◽  
Jet Noise ◽  
Full Scale ◽  
Supersonic Jet Noise

scholarly journals Data Quality Assurance for Supersonic Jet Noise Measurements

2010 ◽  
Author(s):  
Clifford Brown ◽  
Brenda Henderson ◽  
James Bridges
Keyword(s):  
Data Quality ◽  
High Speed ◽  
Supersonic Jet ◽  
Jet Noise ◽  
Full Scale ◽  
Primary Concern ◽  
Noise Sources ◽  
Supersonic Jet Noise ◽  
Noise Data ◽  
The Impact

The noise created by a supersonic aircraft is a primary concern in the design of future high-speed planes. The jet noise reduction technologies required on these aircraft will be developed using scale-models mounted to experimental jet rigs designed to simulate the exhaust gases from a full-scale jet engine. The jet noise data collected in these experiments must accurately predict the noise levels produced by the full-scale hardware in order to be a useful development tool. A methodology has been adopted at the NASA Glenn Research Center’s Aero-Acoustic Propulsion Laboratory to insure the quality of the supersonic jet noise data acquired from the facility’s High Flow Jet Exit Rig so that it can be used to develop future nozzle technologies that reduce supersonic jet noise. The methodology relies on mitigating extraneous noise sources, examining the impact of measurement location on the acoustic results, and investigating the facility independence of the measurements. The methodology is documented here as a basis for validating future improvements and its limitations are noted so that they do not affect the data analysis. Maintaining a high quality jet noise laboratory is an ongoing process. By carefully examining the data produced and continually following this methodology, data quality can be maintained and improved over time.

Energy transfer mechanism of supersonic jet noise through rectangular nozzles

2017 ◽  
Vol 65 (2) ◽  
pp. 110-120 ◽  
Author(s):  
Zhe Chen ◽  
Jiu-Hui Wu ◽  
A-Dan Ren ◽  
Xin Chen ◽  
Zhen Huang
Keyword(s):  
Energy Transfer ◽  
Supersonic Jet ◽  
Jet Noise ◽  
Transfer Mechanism ◽  
Energy Transfer Mechanism ◽  
Supersonic Jet Noise

Application of Synthetic Array Techniques for Improved Simulations of Hot Supersonic Jet Noise

2015 ◽  
Author(s):  
Chris Nelson ◽  
Alan B. Cain ◽  
Robert P. Dougherty ◽  
Kenneth S. Brentner ◽  
Philip J. Morris
Keyword(s):  
Supersonic Jet ◽  
Jet Noise ◽  
Supersonic Jet Noise

Effect of Axial Location of Micro Vortex Generators on Supersonic Jet Noise Reduction

2022 ◽  
Author(s):  
Junhui Liu ◽  
Yu Yu Khine ◽  
Mohammad Saleem ◽  
Omar Lopez Rodriguez ◽  
Ephraim J. Gutmark
Keyword(s):  
Noise Reduction ◽  
Supersonic Jet ◽  
Jet Noise ◽  
Vortex Generators ◽  
Supersonic Jet Noise ◽  
Axial Location

Supersonic Jet Noise Reduction Using Micro Vortex Generators

2021 ◽  
Author(s):  
Junhui Liu ◽  
Yu Yu Khine ◽  
Mohammad Saleem ◽  
Omar Lopez Rodriguez ◽  
Ephraim Gutmark
Keyword(s):  
Noise Reduction ◽  
Supersonic Jet ◽  
Jet Noise ◽  
Vortex Generators ◽  
Supersonic Jet Noise

Efficient Supersonic Jet Noise Simulations Using JENRE

2014 ◽  
Author(s):  
Kailas Kailasanath ◽  
Andrew T. Corrigan ◽  
Junhui Liu ◽  
Ravi Ramamurti
Keyword(s):  
Supersonic Jet ◽  
Jet Noise ◽  
Supersonic Jet Noise

Enhanced Supersonic Jet Noise Reduction using Two Array Configurations of Micro Vortex Generators

2022 ◽  
Author(s):  
Mohammad Saleem ◽  
Omar Lopez Rodriguez ◽  
Ephraim J. Gutmark ◽  
Junhui Liu ◽  
Yu Yu Khine
Keyword(s):  
Noise Reduction ◽  
Supersonic Jet ◽  
Jet Noise ◽  
Vortex Generators ◽  
Supersonic Jet Noise
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