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Computational Support of 9x7 Wind Tunnel Test of Sonic Boom Models with PlumesNASA and its industry partners are performing studies of supersonic aircraft concepts with low sonic boom pressure signatures. The interaction of the nozzle jet flow with the aircrafts' aft components is typically where the greatest uncertainly in the pressure signature is observed with high-fidelity numerical simulations. An extensive wind tunnel test was conducted in February 2016 in the NASA Ames 9- by 7- Foot Supersonic Wind Tunnel to help address the nozzle jet effects on sonic boom. Five test models with a variety of shock generators of differing waveforms and strengths were tested with a convergent-divergent nozzle for a wide range of nozzle pressure ratios. The LAVA unstructured flow solver was used to generate first CFD comparisons with the new experimental database using best practice meshing and analysis techniques for sonic boom vehicle design for all five different configurations. LAVA was also used to redesign the internal flow path of the nozzle and to better understand the flow field in the test section, both of which significantly improved the quality of the test data.
Document ID
20170010159
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Jensen, James C.
(NASA Ames Research Center Moffett Field, CA, United States)
Denison, Marie
(NASA Ames Research Center Moffett Field, CA, United States)
Durston, Don
(NASA Ames Research Center Moffett Field, CA, United States)
Cliff, Susan E.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
October 18, 2017
Publication Date
March 14, 2017
Subject Category
Aeronautics (General)
Fluid Mechanics And Thermodynamics
Report/Patent Number
ARC-E-DAA-TN40151
AIAA Paper 2017-0042
Meeting Information
Meeting: Advanced Modeling & Simulation (AMS) Seminar Series
Location: Moffett Field, CA
Country: United States
Start Date: March 9, 2017
Sponsors: NASA Ames Research Center
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
9x7 Wind Tunnel
Plumes
Computational Support
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