SBIR/STTR Research Award

Hexahedral Dominant Auto-Mesh Generator with NEMoSys

Award identifier 3feef1324c3d1b44416d0490d42fcfde63f71da8cddda7ce6159458dabafef33Awarding agency Department of Defense · Navy

Award amount

$239,979

Program and phase

STTR · Phase I

Award year

2020

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
ILLINOISROCSTAR LLC
Proposal award date
2020-04-18
Contract end date
2021-08-10
UEI
EYFJS7XN6ME3
Solicitation number
A
Topic code
N20A-T004

Research abstract

Illinois Rocstar LLC (IR) will develop a robust methodology and software for automated decomposition and hexahedral mesh generation to address the U.S. Navy modeling and simulation (M&S) needs. Extending the Sandia National Laboratory (SNL) CUBIT package and the IR Nuclear Energy Modeling System (NEMoSys) meshing software, the proposed automated hex-meshing software, offered as an extension module to CUBIT, uses artificial intelligence for decomposition and robust hex meshing algorithms. The product software will support meshing of solid objects, required types of input and output, cross-OS functionality, and compatibility with Naval M&S software. The geometric constraints of hexahedral elements require that a complex domain be first decomposed to a set of hex-meshable sub-domains, a critical task that can take a large portion of total M&S time. NEMoSys is the IR in-house, cross operating system, open-source meshing software. The package integrates a carefully selected set of open-source computational geometry and meshing libraries into a coherent tool that provides meshing services including automated mesh generation, quality evaluation, partitioning/joining, accurate and conservative grid data transfer, re-meshing, adaptive mesh refinement (AMR), physics solution verification, and format conversion. IR will investigate the potential for replacing user expertise with artificial intelligence in the critical task of domain decomposition. IR will establish technical feasibility through research, development, and prototyping of the smart decomposition and automated hex-meshing methodology. SNL will provide technical advice on CUBIT, modifications to the underlying algorithm, testing, and benchmarking. IR will perform preliminary testing and verification to demonstrate the feasibility of decomposition and hex meshing processes. In consultation with SNL, IR will develop plans for the full implementation and testing of the plugin in subsequent phases.

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

68 SBIR/STTR records share this UEI (2007–2022). Reported award amounts total $26,056,217. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Energy, National Aeronautics and Space Administration

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.