SBIR/STTR Research Award

Crack Nucleation Prediction through Surface Roughness Measurement

Award identifier 47b6b9185cd2eff647854beef584ad3a22359b7e27f07c1813b89bf6f0d8ca4bAwarding agency Department of Defense · Defense Advanced Research Projects Agency

Award amount

$869,872

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
Defense Advanced Research Projects Agency
Recipient company
VEXTEC Corporation
Proposal award date
2009-03-09
Contract end date
2011-01-30
UEI
K8DXK85LFYM4
Solicitation number
2007.2
Topic code
SB072-003

Research abstract

Reusable life models rely on a large empirical database and require a lengthy development process. The models must be reconstructed for each new geometric and loading application. Rather than using empirical fatigue data to fit the model, the VEXTEC approach uses the intrinsic microstructure properties of the material and needs very little calibration testing. In Phase I, VEXTEC used the model to predict RUL for a flat plate specimen in a four point bending stress state to within 95% confidence of the test results. The simulated data were generated in less than 2 weeks. These RUL results show that the VEXTEC model can be universally and efficiently applied to new airframe components of the same material with high accuracy. The model was shown to use the particle density material property along with other properties measured from the material to predict the number of microcracks propagating through the microstructure of the material. The Phase II will create a comprehensive RUL prediction system by expanding the capability. Further refinement and added fidelity within the VEXTEC models will produce higher confidence RUL prediction results while maintaining the cost and speed advantages over current modeling systems.

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

62 SBIR/STTR records share this UEI (2000–2025). Reported award amounts total $30,120,250. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, 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.