SBIR/STTR Research Award

Efficient Multi-Scale Radiation Transport Modeling

Award identifier d7dcc46e3728ba67e8a11763b1783e8a32aa00aeed83f5b24d0601258460b573Awarding agency Department of Defense · Air Force

Award amount

$749,975

Program and phase

STTR · Phase II

Award year

2010

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
HYPERCOMP INC
Proposal award date
2010-02-02
Contract end date
2012-02-02
UEI
QMJPFJBH61C7
Solicitation number
2008.A
Topic code
AF08-T020

Research abstract

Radiative heat transfer is a dominant mode of heat transfer in combustion and propulsion systems as well as for hypersonic flow encountered during planetary entry. Solution of the Radiative Transfer Equation (RTE), which is an integro-differential equation, places stringent requirements on the computational resources as: (a) the radiation depends both on spatial and angular dimensions, (b) radiation transfer occurs over a wide spectral range (multi-group), and (c) the participating often exhibits strong dependence on the local flow properties leading to a wide variation in the optical thickness (multi-scale). Efficient numerical algorithms and solvers to address issues of accuracy and computational time are much needed. In this proposal, we seek to unite two powerful techniques in contemporary scientific computing: (1) The discontinuous Galerkin methods, and (2) Graphical processor (GPU) programming, with advances in the prediction of radiative gas dynamics. HyPerComp Inc. has teamed with subject-matter experts, UCLA – who would provide their expertise in development of radiation gas models and validation cases, and Brown University – who would provide their expertise in GPU computing specialized for DG methods to expand upon HyPerComp’s core expertise in developing innovative algorithms and techniques in high-performance-computing, commercialization and distribution for industrial use through strategic partnerships. BENEFIT: The proposed research would result in major breakthrough and a paradigm-shift in how radiative transport equation is solved, from using CPUs to using GPUs, which would be cheaper and at the same time order of magnitude faster. A fast, robust, and accurate RTE solver would find numerous commercial applications such as analysis of exhaust gases in stationery power plants, simulation of photobioreactors to accurately modeling light absorption and scattering by microorganisms and bubbles, radiative analysis of furnaces to minimize energy loss and pollution emissions etc., as well as military and aerospace applications related to thermal analysis of combustion and propulsion systems and target detection and identification (remote sensing).

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

104 SBIR/STTR records share this UEI (1998–2025). Reported award amounts total $50,844,711. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, Department of Energy, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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