SBIR/STTR Research Award

High Voltage Explosive Flux Compression Generators

Award identifier 51a285fff37790f7287704bb15c5dbda9d1b678223f2d9087ec1ef3587c5b3a3Awarding agency Department of Defense · Air Force

Award amount

$749,994

Program and phase

SBIR · Phase II

Award year

2009

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 Defense
Branch
Air Force
Recipient company
THE CARE'N LLC
Proposal award date
2008-10-31
Contract end date
2011-01-30
UEI
HB7KCH9LCFA6
Solicitation number
2007.1
Topic code
AF071-007

Research abstract

ABSTRACT: Helical magnetic flux compression generators have been used for five decades to amplify electrical energy and current from high explosives. Although they can now be modeled quite accurately, there are practical limitations, based on internal electrical breakdown, that limit both their compactness and ability to operate at high output voltages. The Care’n LLC proposes to overcome this limitation through careful application of 3D electrostatic and inductive electric field calculations based on magnetic and electric vector potentials. Furthermore, we will assess the heretofore unaddressed issue of MHD field generation due to the motion of insulating gas through the magnetic field. The results of these studies will be incorporated into the FCG modeling code, CAGEN, which already accurately calculates the performance of helical FCGs, without any empirical factors, in the absence of electrical breakdown. The code will then be used to explore optimization strategies that take into account, explicitly, electrical breakdown thresholds. BENEFIT: We believe that the result of completion of the Phase II R&D effort will be a robust and validated explosive flux compression generator modeling code that both calculates expected performance with unprecedented accuracy, and furthermore provides design information about electric fields within devices. These fields are the present limitation for miniaturizing generators. With this new design tool, researchers will be able to design new explosive generators for a wide variety of military and commercial applications. Heretofore, unless new generators were small excursions from proven existing designs, long experimental development were required to establish performance limitations and achieve desired specifications. Such a development path is not only costly in terms of development time, but experiments – being only single-shot – tend to be very costly. Our new design tool will allow considerable savings in development time and cost. We expect that during a Phase III, the CAGEN code will go through considerable refinement in terms of user friendliness and the rigorous testing associated with commercial software development. The Care'n LLC is planning two commercialization pathways. The first is the incorporation of the results of this project into the HFCG modeling code CAGEN. The second is the possibility that the oil servicing companies would find very small, highly efficient HFCG advantageous to their oil stimulation services.

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

2 SBIR/STTR records share this UEI (2007–2009). Reported award amounts total $849,675. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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.