SBIR/STTR Research Award

Fully Automatic Cartesian and Surface-Layer Gridding and Solution Methodology

Award identifier a6c38c1c235cbcf972e501de7a7ae82b479e06f11602b2cd8327ac2a2b408cbeAwarding agency Department of Defense · Navy

Award amount

$64,267

Program and phase

SBIR · Phase I

Award year

1997

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
Navy
Recipient company
METACOMP TECHNOLOGIES INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
P1YHAJUA2G43
Solicitation number
Not reported
Topic code
Not reported

Research abstract

A fully automatic Cartesian unstructured mesh is coupled to body-conforming surface-layer mesh to result in a computational grid that is consistent with a unified-grid CFD capability. This will result in the ability to simulate even high Reynolds number viscous flows. The Cartesian mesh is generated by adaptive Octree based procedure.

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

40 SBIR/STTR records share this UEI (1995–2020). Reported award amounts total $13,861,836. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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.