SBIR/STTR Research Award

Automated Three-Dimensional Polyhedral Mesh Generation for B-rep Solid Model Data

Award identifier 180ee2ef6e7070d4a4a723122bcf4b4c74f23f87b4b482f1f62ce944651ed937Awarding agency Department of Energy

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2015

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
AIRFLOW SCIENCES CORP
Proposal award date
2015-06-08
Contract end date
2016-03-07
UEI
LTN2NKTMU6N4
Solicitation number
DE-FOA-0001227
Topic code
32d

Research abstract

Recent advances in the design of products and processes have been based in large part on advanced numerical simulation techniques used by the computer aided engineering community. These approaches are applied to the development of cars, military hardware, food processing operations, pollution control equipment, and nuclear reactors for power generation. With current tools, creation of the high quality computational grids that form the underpinnings of these methods is arduous, and can often be the most time-consuming step of the process. Current methods for creating computational meshes either favor highly automated approaches that result in low quality meshes and low fidelity simulations, or user-intensive methods that provide high quality results requiring much more time. The gulf between a high level of automation and high quality results will be bridged by adopting advanced cell topologies along with novel optimization techniques. The Phase I effort will demonstrate the effectiveness of the proposed method by developing initial versions of the meshing algorithms, which will then be applied to several computational geometries. Objective quality criteria will be used to compare the resulting meshes to those generated with commercially-available meshing software using both user-directed and automated approaches. Adoption of the proposed meshing algorithms provides the opportunity to significantly reduce the resources needed for the analysis and development of improved products and processes across a range of industries. This will result in reduced development cycles, improved products, or both. The software resulting from the development of these methods can be embodied as stand-alone programs, as well as software libraries that can be incorporated into other software products.

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

10 SBIR/STTR records share this UEI (2011–2025). Reported award amounts total $3,864,636. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Commerce, Department of Energy, Department of Defense

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.