Unsteady Airfoil Design Optimization with Application to Dynamic Stall

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$99,938.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
W911W6-11-C-0038
Award Id:
n/a
Agency Tracking Number:
A111-002-1016
Solicitation Year:
2011
Solicitation Topic Code:
A11-002
Solicitation Number:
2011.1
Small Business Information
13766 S. Hawthorne Blvd., Hawthorne, CA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
028281020
Principal Investigator:
BrianDanowsky
Senior Research Engineer
(310) 679-2281
bdanowsky@systemstech.com
Business Contact:
ThomasMyers
Vice President
(310) 679-2281
exec@systemstech.com
Research Institute:
Stub




Abstract
The proposed work will develop the RObust unsteady aerodynaMic shapE Optimization (ROMEO) Tool specialized for design and optimization of airfoil shapes that alleviate adverse dynamic stall characteristics resulting from unsteady motion in viscous turbulent flow. The strategy is to use a high fidelity physics based Computational Fluid Dynamics (CFD) code for dynamic stall simulation and to use a nonlinear optimization scheme that guarantees robustness of the computed airfoil shapes to various error sources and uncertainties, such as un-modeled dynamics, manufacturing error and operating conditions variations. In addition, the tool will include the capability of a computationally efficient surrogate optimization design model. This capability will expedite initial trade-off studies for various airfoil shapes and operating conditions before finalizing the airfoil design with the high fidelity CFD-based model. Phase I effort will focus on developing a nonlinear optimization algorithm and strategy that alleviates adverse characteristics of unsteady/viscous/turbulent flow in a favorable way while maintaining desired performance. The design optimization will be further enhanced in Phase II with increased model fidelity and an uncertainty quantification model as a part of nonlinear optimization algorithm. The surrogate optimization design model will also be fully developed as a part of the Phase II effort.

* information listed above is at the time of submission.

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