SBIR/STTR Research Award

A Hybrid Computational Approach for Control Surfaces with Geometric Proximity

Award identifier 087d9cb98e12d96ead37c04a3246fa7bea40150b49bfdf1ecf6da52d206f9358Awarding agency Department of Defense · Air Force

Award amount

$99,910

Program and phase

SBIR · Phase I

Award year

2009

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
CFD Research Corporation
Proposal award date
2009-03-24
Contract end date
2009-12-01
UEI
V3KCP1HNFM33
Solicitation number
2008.3
Topic code
AF083-268

Research abstract

An innovative hybrid computational approach is proposed for constructing and deforming grids for moving and control surfaces with geometric proximity. The proposed approach utilizes a reduced order method (ROM) for deforming unstructured meshes and Overset Cartesian grid method for large deformations.  The unique characteristics of limited Degrees Of Freedom (DOF) for the moving control surface, such as moving flap and weapons door, will be fully utilized through reduced order method, so that the moving body problem is reduced to simple matrix-vector multiplication.  The use of overset Cartesian method will provide the flexibility when dealing with large deformation, deteriorated grid quality, and/or when the gap between two surfaces is closed or opened. The Phase I efforts will focus on the development and testing of each individual component of the proposed methodology including; the nonlinear reduced order method for unstructured deformation of moving control surfaces; the automatic overset Cartesian grid generation for coupling with unstructured grid and for grid topology change;  and the controlling strategy and criteria to switch between the two methods. Also in Phase I, demonstration calculations will be performed to show the effectiveness and feasibility of the proposed approach. In Phase II, the grid deformation due to elastic deformation will be linked together, and  the API development will be invoked, so that the proposed methodology is generic enough to be utilized by a variety of solvers and flow functions. BENEFITS: The proposed composite reduced order method and Cartesian grid is an innovative approach to handle the dynamic meshes with multiple moving bodies in geometrical proximity.  This concept will have wide-ranging implications to the simulation of complex fluid-structure interactions in aerospace and automotive applications. The commercial outcome of this development will be phenomenal as even some of the sophisticated CFD codes lack an elegant framework for mesh handling in moving body and fluid-structure interaction applications.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

947 SBIR/STTR records share this UEI (1987–2026). Reported award amounts total $350,893,199. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, National Science Foundation, Department of Commerce, Department of Energy

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.