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POD/RSM Methodology for Low-Reynolds Number Aerodynamic on MAV

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-05-M-3548
Agency Tracking Number: F051-246-2506
Amount: $99,876.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF05-246
Solicitation Number: 2005.1
Timeline
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-04-08
Award End Date (Contract End Date): 2006-04-08
Small Business Information
7430 E. Stetson Drive , Suite 205
Scottsdale, AZ 85251
United States
DUNS: 182103291
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Danny Liu
 President
 (480) 945-9988
 danny@zonatech.com
Business Contact
 Jen Scherr
Title: Technical Assistant
Phone: (480) 945-9988
Email: jennifer@zonatech.com
Research Institution
N/A
Abstract

ZONA Technology proposes an R&D effort to develop a POD/RSM (Proper Orthogonal Decomposition and Response Surface Method) methodology for the prediction of low-Reynolds number aerodynamics on Micro Air Vehicles (MAVs). By operating on a set of computational Fluid Dynamics (CFD) solutions computed at a few training points, the POD/RSM methodology provides a reduced order model that can rapidly and accurately generate the low-Reynolds number aerodynamic solutions at any given flight condition. This reduced order model is constructed using a few eigenmodes of the flow and can capture the complexity of the low-Reynolds number flow structures such as laminar boundary layer separation, transition and reattachment. In Phase I, a Flexible Latex Rubber Wing (FLRW) will be selected as a test bed to demonstrate the applicability of the POD/RSM methodology for MAV design and analysis. Validation will be conducted by comparing the POD/RSM solutions with the direct CFD solutions at the non-training points. The POD/RSM methodology will be used to generate aerodynamic force and moment coefficients as well as stability derivatives to asses the performance, stability, and handling quality of the FLRW.

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

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