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

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9101-16-M-0046
Agency Tracking Number: F161-024-0732
Amount: $149,990.26
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF161-024
Solicitation Number: 2016.1
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-07-13
Award End Date (Contract End Date): 2017-04-14
Small Business Information
701 McMillian Way NW, Huntsville, AL, 35806
DUNS: 185169620
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Dr. Charles Olling
 (256) 726-4800
 proposals-contracts@cfdrc.com
Business Contact
 Deborah Phipps
Phone: (256) 726-4884
Email: deb.phipps@cfdrc.com
Research Institution
N/A
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.

* Information listed above is at the time of submission. *

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