SBIR/STTR Research Award

ALEGRA-MHD Applications to Solid Liner MTF/MIF Confinement Concepts

Award identifier 2382ed61565936331f53e55d10c309e6de9755f138656960544ba7c969f513a8Awarding agency Department of Energy

Award amount

$99,698

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
ENIG ASSOCIATES, INC.
Proposal award date
Not reported
Contract end date
2011-03-18
UEI
MJHLHVNF7731
Solicitation number
DE-FOA-0000161
Topic code
67 d

Research abstract

Recent advances in pulsed power and the ability to create long-lived stable target plasmas have made Magnetized Target Fusion (MTF) an attractive alternative to Inertial Confinement Fusion (ICF) and Magnetic Confinement Fusion (MCF). We propose to use the ALEGRA code to model solid liner MTF experiments because it can simulate the requisite physics. ALEGRA is an Arbitrary Lagrangian-Eulerian multi-material, multi-physics, finite element code that emphasizes large deformations, strong shock physics, and MHD physics. ALEGRA includes resistive MHD terms that capture magnetic diffusion and Joule heating. ALEGRA presently contains two different treatments of photon radiation transport. ALEGRA is designed to run on distributed-memory parallel computers using the Single Program Multiple Data paradigm. This is done because of the need to access the enormous memories and processor speeds of massively parallel processor computers to analyze large, three-dimensional problems. Magnetized Target Fusion (MTF) is the approach to fusion energy that is intermediate in parameters between magnetic confinement fusion (MCF) and inertial confinement fusion (ICF). The essential ingredients are the formation of a plasma target containing the fusion fuel embedded in a magnetic field, followed by a pulsed compression of the fuel to achieve fusion reactions during the inertial dwell time of the compression system. This proposal will provide a fully 3D model of a solid liner MTF whose ultimate goal is to have the simulation results benchmarked against the MTF experimental results of our teammate, AFRL/RDHP MTF. Enig Associates, Inc. proposes to develop fully 3D models of solid liner MTF experiments using the ALEGRA code. This can be done in ALEGRA because it is an Arbitrary Lagrangian-Eulerian multi-material finite element code that emphasizes large deformations, strong shock physics, and MHD physics.Commercial Applications and Other Benefits: Magnetized Target Fusion is an alternative to Inertial Confinement Fusion and Magnetic Confinement Fusion. These studies could provide insight that may lead to the development of an MTF reactor.

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

50 SBIR/STTR records share this UEI (1988–2022). Reported award amounts total $22,582,974. Reported amounts are not federal obligations.

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

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

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.