Efficient Computational Tool for Comprehensive Thermal Analysis of Military Ground Vehicles

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$68,697.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
W56HZV-11-C-0065
Agency Tracking Number:
A102-145-0441
Solicitation Year:
2010
Solicitation Topic Code:
A10-145
Solicitation Number:
2010.2
Small Business Information
CFD Research Corporation
215 Wynn Dr., 5th Floor, Huntsville, AL, 35805
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
185169620
Principal Investigator:
Paul Dionne
Technical Fellow
(256) 726-4837
pjd@cfdrc.com
Business Contact:
Deborah Phipps
Contracts Manager
(256) 726-4884
dap@cfdrc.com
Research Institution:
n/a
Abstract
Including radiative heat transfer in full-vehicle thermal analysis simulations results in nonlinear equations with coefficient matrices that are dense, poorly conditioned, and difficult to solve. Further, calculating and storing view factors¯needed for surface-to-surface radiative fluxes¯is computationally prohibitive on fine grids. In the proposed SBIR project, CFDRC will develop, validate and demonstrate an efficient, high-fidelity computational tool for full-vehicle thermal analysis. The overall innovation (Phase I and II) consists of four main aspects: (1) Develop a robust, efficient and highly linear system solver by coupling a Krylov sub-space solver and algebraic multigrid (AMG) preconditioner (2) Investigate influence of linear system implicitness level on the CPU requirements, (3) Develop computationally efficient view-factor and ray tracing calculation algorithms, and (4) Implement a comprehensive thermal model including the radiation solver coupled with a thin shell conduction model. In Phase I, feasibility will be demonstrated by: (1) Determining the optimal combination of solver and preconditioner parameters, (2) Incorporating a thin shell conduction model in an existing radiation code, and (3) Demonstrating the thermal analysis model on a realistic vehicle geometry. In Phase II, we will develop efficient algorithms for view factor and infrared ray tracing calculations. The comprehensive thermal model will be incorporated into a code of interest to the Army, and applied to 3-D thermal analysis of a military ground vehicle.

* information listed above is at the time of submission.

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