SBIR/STTR Research Award

Analytic and Computational Study of the Adiabatic Compression of Simply Connected Magnetized Targets

Award identifier b62c3d66f10dfa617d47a8391774057ae75b629d3b3da90ad2f8e74bd2110c72Awarding agency Department of Energy

Award amount

$618,601

Program and phase

SBIR · Phase II

Award year

2008

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
Woodruff Scientific, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
PVBPHNN1LFT3
Solicitation number
DE-PS02-06ER06-30
Topic code
53

Research abstract

Several critical issues stand in the development path of a magnetized target fusion scheme to a working reactor. Important ones are the limit imposed by liner dwell time, and the requirement for symmetry in high convergences. The usual compression schemes tend to require a lot of energy and large chambers. During Phase I we completed computational and analytic studies of the compression and acceleration of compact tori. We used advanced computations benchmarked against analytic theory to determine the best means for the acceleration and compression of a compact torus plasma. Our study included analysis of the stability of a compact torus under compression. Commercial Applications and other Benefits as described by the awardee: The Phase II project will use a new means for compressing and trapping a compact torus to maximize the burn time. The new experiment will be supported by computational efforts and analytic modeling, and will be carried out in house by use of largely existing facilities. In Phase II we will build a plasma piston to impact and compress a small compact torus generated in a flux-conserver shaped to preserve stability. In Phase III, we would seek industrial partners to build a high field, high temperature, compact torus compressor, with the ability to repeat. The aim would be to skip the proof-of-principal stage and go straight to performance extension, based on existing results, and on our ability to accurately simulate plasma behavior with existing computational models.

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

8 SBIR/STTR records share this UEI (2006–2019). Reported award amounts total $3,771,711. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: 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.