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Rapid Optimization and Trade Space Framework for Adapting Aero-Structures

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-22-P-0083
Agency Tracking Number: A22B-T008-0200
Amount: $172,730.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A22B-T008
Solicitation Number: 22.B
Solicitation Year: 2022
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-09-26
Award End Date (Contract End Date): 2023-03-25
Small Business Information
34 Lexington Avenue
Ewing, NJ 08618-2302
United States
DUNS: 096857313
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Abhinav Sharma
 (609) 538-0444
Business Contact
 Melissa Kinney
Phone: (609) 538-0444
Research Institution
 Regents of the University of Michigan
 Caitlin Jost
3003 South State Street
Ann Arbor, MI 48109-1274
United States

 (734) 764-9115
 Nonprofit College or University

Adaptive aircraft have the potential for significantly expanded operational envelopes when compared to conventional fixed configuration aircraft. Optimization-based design of these vehicles necessitates the use of validated coupled fluid-structure interaction (FSI) tools that account for both aerodynamics and structural properties, which exhibit interdependence with aerodynamics. Traditional FSI tools require substantial computational resources to converge to a coupled solution, and overhead to support development of appropriate CAD geometry and CFD grids. These requirements scale considerably during optimization. Continuum Dynamics, Inc. (CDI), and the University of Michigan (UM) propose to develop an innovative FSI analysis capability that retains high accuracy at a fraction of the computational cost of traditional methods and is integrated in an optimization framework for rapid design and tradeoff assessment of adaptive aircraft. The capability will leverage CDI’s unique real-time free-wake and vortex lattice methods incorporated into CDI’s CHARM software to accurately characterize aircraft aerodynamics and aeroelastics, whilst drawing on UM’s extensive expertise in multidisciplinary design optimization methods and CDI’s experience in designing smart material based adaptive lifting surfaces (6 U.S. patents). A prototype of the capability will be developed in Phase I and integrated into an optimization framework to perform an application case study and trade space assessment.

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

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