SBIR/STTR Research Award

Practical CAD-Centric Modeling of Transport Phenomena in Liquid Breeder Blankets

Award identifier d66f932b0c63c92eb605c697e4304df37f0e17b51bd6bdaefb23f8215ec3ea48Awarding agency Department of Energy

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2010

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 Energy
Branch
Not reported
Recipient company
HYPERCOMP INC
Proposal award date
Not reported
Contract end date
2011-03-18
UEI
QMJPFJBH61C7
Solicitation number
DE-FOA-0000161
Topic code
66 b

Research abstract

Numerous advances have been made in recent times in computer modeling of phenomena such as neutron transport, MHD, heat and mass transfer in complex geometries of importance to liquid breeder blanket modules. Modeling approaches over the years have not only involved high performance computing, but also modern CAD-based techniques, and an array of computer models ranging from ideal cycle analysis to 3D flow solvers. This has been particularly true in MHD and mass transfer simulations, and each of these approaches has met with a fair measure of success in limited sets of applications. We propose here a systematic sequence of advancements wherein a hierarchy of models is identified, integrated in a comprehensive software management system, and formal validation procedures are developed and performed. We expect that this will be of immediate interest to researchers in fusion nuclear science and technology (FNST). A framework for CAD-centric modeling for blanket modules was recently developed at HyPerComp in collaboration with TEXCEL. We are currently also developing advanced simulation tools for mass transport phenomena. We propose here to evolve a procedure for combining numerical and semi-numerical approaches for modeling MHD, heat and mass transport. Faced with the large computational expense in high-end solvers, the uncertainties in the physical models used in detailed mass transport studies, and the need to model the complete flow circuits (including blanket, manifold system, heat exchanger/steam generator, etc.), a hybrid simulation procedure seems to suggest itself as a valuable resource. These will include the coupling of codes which perform simplified modeling such as fully developed flow, quasi one-dimensional flow, reactor analysis using lumped flow elements, as well as detailed CFD. An effective graphical user interface will drive the simulation and exchange data across these models. Formal validation procedures will be developed in parallel. Commercial applications and other benefits: Proper evaluation of transport processes in liquid metal MHD flows, including Tritium permeation, MHD pressure drop, corrosion and transport of corrosion products, including their deposition in the cold section of the liquid metal loop is vital to the design of breeding fusion blankets, their safety and reactor economic feasibility

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 Energy

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.