Automated NDE Flaw Mapping System

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$99,953.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
NNX10CE66P
Award Id:
95524
Agency Tracking Number:
095424
Solicitation Year:
n/a
Solicitation Topic Code:
A1
Solicitation Number:
n/a
Small Business Information
727 Airport Boulevard, Ann Arbor, MI, 48108
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
197187602
Principal Investigator:
Ryan O'Grady
Principal Investigator
(734) 668-2537
proposals@cybernet.com
Business Contact:
Daniel Jarrell
Business Official
(734) 668-2567
proposals@cybernet.com
Research Institute:
n/a
Abstract
The prevailing approach to non-destructive evaluation (NDE) of aircraft components is to set an inspection schedule based on what is generally known about the component in question. Engineers perform tests on samples, get field reports, and include a safety factor based on criticality. Then, when the schedule dictates, the component is inspected and a binary decision is made: Back in service? Or retooled/scrapped? Unfortunately, this approach throws away much of the useful information that can be gathered from non-destructive evaluation. When a component is inspected, a detailed picture of the current health of the component is generated. However, the engineer would have to characterize and integrate the flaw data into the CAD model of the component for this information to be useful for predictive modeling. This is a time-consuming process, especially considering the sheer number of aircraft components inspected each year. Cybernet Systems is uniquely positioned to solve this problem, possessing the multi-disciplinary experience necessary to do so. We propose to leverage our experience with Sikorsky's inspection process, as well as our work in the fields of motion tracking and position/orientation determination for augmented reality, to design and build a system that is able to determine component orientation, track sensor head position/orientation, quantify sensor data, and update the component CAD model to represent the results of the non-destructive evaluation

* information listed above is at the time of submission.

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