SBIR/STTR Research Award

Prediction of Hypersonic Boundary-Layer Transition in Wind Tunnels and Flight

Award identifier 4f3d2ce82b02a4f14e09558035263e6e0ff5b7c2a73a9096c80f5e97cf8b8b33Awarding agency Department of Defense · Air Force

Award amount

$149,990

Program and phase

SBIR · Phase I

Award year

2016

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
CFD Research Corporation
Proposal award date
2016-07-13
Contract end date
2017-04-14
UEI
V3KCP1HNFM33
Solicitation number
2016.1
Topic code
AF161-024

Research abstract

Boundary-layer transition is important in the design of hypersonic vehicles since it significantly affects the aerodynamic drag and heating.The ultimate goal of this SBIR project is to assemble an easy-to-use, accurate, efficient and robust suite of codes to predict boundary-layer transition on hypersonic vehicles in large-scale wind tunnels and flight.The Phase I objectives are to develop algorithms to predict the onset of 2nd mode dominated boundary-layer transition in large-scale wind tunnels and include relevant physics to allow extrapolation to flight. The EPIC stability code solving the nonlinear parabolized stability equations (NPSE) will be coupled to mean flow solutions and receptivity models relating tunnel noise to initial 2nd mode amplitudes and frequencies for the initial conditions for EPIC NPSE marching.The 2nd mode saturation amplitudes will be computed by EPIC or a breakdown amplitude correlation will be applied in Macks amplitude method.The algorithms will include the use of Direct Numerical Simulations (DNS) to provide physics-based receptivity models applicable to both wind tunnels and flight. In Phase II the algorithm will be implemented and validated.Crossflow instability and transient growth will be computed and the length of the transition region will be predicted.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

947 SBIR/STTR records share this UEI (1987–2026). Reported award amounts total $350,893,199. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, National Science Foundation, Department of Commerce, Department of Energy

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.