SBIR/STTR Research Award

Automated NDE Flaw Mapping System

Award identifier a2d6e9c562d840cbb2a2c720869e4eb9a1fb1c164fed9fa9269a64f9041b89bcAwarding agency National Aeronautics and Space Administration

Award amount

$599,623

Program and phase

SBIR · Phase II

Award year

2011

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
CYBERNET SYSTEMS CORPORATION
Proposal award date
2011-06-01
Contract end date
2013-11-30
UEI
HMC9E3DLBP75
Solicitation number
Not reported
Topic code
A1.02

Research abstract

NASA's Aircraft Aging and Durability Project (AADP) aims to ensure the safety of both commercial and military aviation aircraft. Non-destructive evaluation (NDE) techniques are integral to this effort. In particular, NDE techniques are used to a) detect and characterize damage to aircraft and b) validate models of materials through iterative testing. The costs associated with the acquisition of major aircraft require a long usage period in order to obtain a good return on investment. The commercial and military aircraft fleets are inspected and maintained to produce a long operational life. However, many of the NDE techniques are slow, tedious, and costly. Interestingly, the technologies used to inspect aircraft to detect flaws are quite sophisticated, but tools for keeping track of these flaws, their location, and evolution over time are haphazard and inspection-specific, so they are not easily generalized to inspections in general.We propose to leverage our machine vision technology to help automate portions of the inspection process to greatly reduce the time and cost associated with the inspection task. In this approach, machine vision is used to localize the sensor scan information gathered during inspection so that it can be viewed and manipulated in the context of a 3D CAD model of the inspected object. This then helps support the prediction of flaw propagation and structure life. The system allows maintainers to accurately collect information about flaws and accurately integrate them into CAD models. The models can then be leveraged in finite element analysis tools to help predict flaw and material behavior.

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

287 SBIR/STTR records share this UEI (1989–2025). Reported award amounts total $80,841,233. 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, Department of Homeland Security, Department of Health and Human Services, National Science Foundation, Department of Education

Agency intelligence

National Aeronautics and Space Administration

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