SBIR/STTR Research Award

Next Generation CFD Code for Spray Combustion Simulations

Award identifier 090240694412aa278e3d402d9177d27a559771cfc7c5cb77a691cd85f0fce251Awarding agency Department of Commerce

Award amount

$74,963

Program and phase

SBIR · Phase I

Award year

1998

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 Commerce
Branch
Not reported
Recipient company
CFD Research Corporation
Proposal award date
Not reported
Contract end date
Not reported
UEI
V3KCP1HNFM33
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Despite major advances in CFD technology over the past two decades, simulation of industrial spray combustion systems remains challenging due to difficulties in modeling various droplet physical phenomena and in dealing with the geometrical complexity. The proposed study will develop a 3-dimensional code incorporating advanced physical models for droplet transport/vaporization and spray combustion by using solution-adaptive unstructured meshes and efficient parallel algorithms. The Phase 1 effort demonstrated proof-of-concept by developing a baseline spray dynamics module incorporating heat and mass transfer and coupling it with an existing unstructured reactive flow solver. Comparison of model predictions for non-evaporating and burning sprays with experimental data showed good agreement. In Phase 2, the code will be extended to include state-of-the art models for droplet physics, such as multi-component droplets; droplet-turbulence interactions; droplet deformation, breakup and collisions; soot and gaseous emissions; detailed chemical kinetics; and group combustion, and stochastic spray. Additionally, solution-adaptive meshing techniques and algorithm improvements will be incorporated into the code. As part of a verification study, the developed code will be subjected to a series of test cases for which analytical solutions are available. Comprehensive benchmark validation of the code will be performed against data being collected at the NIST Spray Combustion Facility. A variety of full-scale 3-D waste fuel furnace/incinerator simulations will be performed to demonstrate the capabilities of the code. Prof. Aswani Gupta of the University of Maryland and Prof. Clayton Crowe of Washington State University will be consultants during the Phase 2 project. Phase 3 commitments and endorsements have been obtained from Optomec, BMW--Rolls-Royce and Geo-Centers, Inc.

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.

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 Commerce

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.