Hybrid State-Detection System for Gearbox Components

Award Information
Agency:
Department of Defense
Branch:
Navy
Amount:
$149,999.00
Award Year:
2012
Program:
STTR
Phase:
Phase I
Contract:
N68335-12-C-0376
Agency Tracking Number:
N12A-007-0135
Solicitation Year:
2012
Solicitation Topic Code:
N12A-T007
Solicitation Number:
2012.A
Small Business Information
Metis Design Corporation
10 Canal Park, Suite 601, Cambridge, MA, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
111487588
Principal Investigator
 Seth Kessler
 President
 (617) 661-5616
 skessler@metisdesign.com
Business Contact
 Seth Kessler
Title: President
Phone: (617) 661-5616
Email: skessler@metisdesign.com
Research Institution
 University of Illinois at Chicago
 Didem O PhD
 Dept of Civil&Materials Eng
842 W. Taylor St., Rm 2095
Chicago, IL, 60607-
 (312) 413-3051
 Nonprofit college or university
Abstract
Aerospace structures are subject to dynamic loading. In particular, gearbox components experience continuous cyclic loading, wear and eventually develop fatigue cracks. As opposed to most other aircraft components, gearbox components are non-redundant, so a failure can have catastrophic consequences. Gearbox members are typically magnesium, aluminum or high-strength steel that exhibit high fracture toughness, but are brittle, making them susceptible to fatigue failure. Gearbox safety can be ensured via real-time detection methods. Current monitoring systems fail to detect damage in at early enough stage to provide sufficient warning before failure, or may cause false positives. Accurate diagnosis and prognosis of gearbox health state can reduce maintenance schedules, and component life may be extended, which lead to significant life-cycle cost reduction. This proposal focuses on the development of a gearbox PHM system for early detection of cracking. The system will be hybrid in nature, relying on both passive acquisition of elastic waves in operation, as well as active excitation of guided waves while on the ground. Both techniques will make use of model-augmented pattern recognition techniques to characterize an accurate real-time state of health for the gearbox. Metis Design Corporation (MDC) will work closely with collaborator University of Illinois at Chicago (UIC).

* information listed above is at the time of submission.

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