Damage Detection of Composite Components using Surface Mounted Sensors

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,982.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
N68335-10-C-0088
Agency Tracking Number:
N093-169-0186
Solicitation Year:
2009
Solicitation Topic Code:
N093-169
Solicitation Number:
2009.3
Small Business Information
Aurora Flight Sciences Corporation
9950 Wakeman Drive, Manassas, VA, 20110
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
604717165
Principal Investigator:
David Kordonowy
Structures Engineer
(617) 500-4814
dkordonowy@aurora.aero
Business Contact:
Scott Hart
Financial Analyst
(617) 500-0536
shart@aurora.aero
Research Institution:
n/a
Abstract
Today’s advanced airborne weapons systems push the limits of technology to achieve greater speed, payload, and efficiency than previous generation systems. The tradeoff for the improved performance is that advanced systems and structures require extensive maintenance. Aurora proposes to develop an onboard health monitoring system that performs maintenance inspections with a high probability of detection (POD) without physical or visual access to the components to bring the cost of maintenance down on current and future air vehicles. Aurora will leverage its existing contract, the design and production of the CH-53K main rotor pylon, to select a CH-53K structure ideally suited to a structural health monitoring (SHM) system. Aurora’s familiarity with the design and analysis will aid in optimizing the sensor placement for maximum probability of detection and minimum weight impact. Panels will be fabricated with and without embedded manufacturing flaws and damage sites including micro cracks, delamination, and Barely Visible Impact Damage (BVID). The panels will demonstrate a SHM system based on the Metis Design Corporation surface mount Intelli-Connector SHM sensor. As a Phase 1 Option, varying numbers and locations of sensors will be used on the panel specimens in order to determine optimization parameters for sensor placement and density.

* information listed above is at the time of submission.

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