Active-Distributed Boundary Layer Management Using Flow Sensory Actuators

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-09-C-0018
Agency Tracking Number: F08A-007-0104
Amount: $99,825.00
Phase: Phase I
Program: STTR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: AF08-T007
Solicitation Number: 2008.A
Small Business Information
2513 Pierce Ave., Ames, IA, 50010
DUNS: 782766831
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Sivaram Gogineni
 (937) 266-9570
Business Contact
 Sivaram Gogineni
Title: President
Phone: (937) 266-9570
Research Institution
 Farrukh Alvi
 FAMU/FSU College of Engg.
2525 Pottsdamer Street
Tallahassee, FL, 32310
 (850) 644-0053
 Nonprofit college or university
The goal of achieving efficient flow control becomes even more challenging for MAVs as a result of the significant weight and size limitations. These preclude the use of complex hardware and control schemes which may be usable in conventional aircraft. In this research program, we propose an ambitious but realistic approach for developing and implementing, self-adapting, integrated sensor-actuator systems (sensory flow actuators) for the next generation of MAVs. Our highly interdisciplinary team of researchers with expertise in fluid dynamics, smart materials, actuator design and control has worked in this area for a number of years with a record of success in rapidly transitioning technologies to practical platforms of interest to the Air Force. Using a systematic approach consisting of analytical studies, design and rigorous experimental characterization, we propose to: a) Develop simple and robust sensory flow actuators using smart materials and innovative designs; b) Demonstrate their efficacy in achieving measurable boundary layer transition and separation control in wind tunnel studies and finally c) To deliver design tools for actuator and control schemes, together with a better understanding of the fluid dynamics and engineering know-how needed for implementing practical, efficient control in MAVs.

* information listed above is at the time of submission.

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