Active Flow Control with Adaptive Design Techniques for Improved Aircraft Safety

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$99,823.00
Award Year:
2006
Program:
STTR
Phase:
Phase I
Contract:
NND06AA36C
Award Id:
80732
Agency Tracking Number:
050169
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1410 Sachem Place, Suite 202, Charlottesville, VA, 22901
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
120839477
Principal Investigator:
Jason Burkholder
Principal Investigator
() -
burkholder@bainet.com
Business Contact:
Connie Hoover
Contracts Manager
(434) 973-1215
barron@bainet.com
Research Institution:
University of Virginia
Gerald J Kane
PO Box 400195
Charlottesville, VA, 22904
(434) 924-4270
Nonprofit college or university
Abstract
The increased aircraft safety potential of active flow control using synthetic jets - specifically, using synthetic jets on the leading edge of the wing to delay flow separation - is of critical importance. Delaying flow separation could allow an aircraft to recover from adverse conditions that would otherwise result in a loss of control.Active flow control using synthetic jet actuators has been the subject of significant research in recent years due to its immense potential to expand the operating regimes of unconventional airfoils and provide "virtual" shaping. Barron Associates (BAI) and its research partners at the University of Virginia and the University of Wyoming propose innovative active flow control solutions that will allow achieve virtual sur-face shaping objectives and delay flow separation at high angles of attack to provide a safer and more efficient flight environment. The proposed integrated actuation and control systems will be demonstrated using a Boeing 747 flight simulation.In Phase II, the team will: (1) implement the control algorithms in real time in hardware; (2) fabricate a Boeing 747-like scale model with integrated synthetic jet actuators, and; (3) demonstrate the actuation capacity and control algorithm performance for achieving desired flow control objectives.

* information listed above is at the time of submission.

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