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Automated NDE Flaw Mapping System

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10CE66P
Agency Tracking Number: 095424
Amount: $99,953.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A1.02
Solicitation Number: N/A
Timeline
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-01-29
Award End Date (Contract End Date): 2010-07-29
Small Business Information
727 Airport Boulevard
Ann Arbor, MI 48108-1639
United States
DUNS: 197187602
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Ryan O'Grady
 Principal Investigator
 (734) 668-2537
 proposals@cybernet.com
Business Contact
 Daniel Jarrell
Title: Business Official
Phone: (734) 668-2567
Email: proposals@cybernet.com
Research Institution
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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