Model-Augmented Pattern Recognition for Damage Detection in Aerospace Materials

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$749,959.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
FA8650-08-C-3860
Award Id:
79034
Agency Tracking Number:
F061-097-3762
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
METIS DESIGN CORP. (Currently METIS DESIGN CORPORATION)
222 Third Street, Suite 3121, Cambridge, MA, 02142
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
111487588
Principal Investigator:
Seth Kessler
President
(617) 661-5616
skessler@metisdesign.com
Business Contact:
Seth Kessler
President
(617) 661-5616
skessler@metisdesign.com
Research Institution:
n/a
Abstract
Currently successful laboratory non-destructive methods are impractical for inspection of integrated aerospace structures. To resolve this issue, the Metis Design Corporation (MDC) has developed structural health monitoring (SHM) system sensors and hardware. SHM is an emerging technology leading to the development of systems capable of continuously monitoring damage with minimal human intervention. During Phase I research MDC used piezoelectric actuator/sensor pairs to perform Lamb wave testing on composite plates with drilled holes, delamination and impact damage. Subsequently pattern recognition methods were used to classify the presence, type and severity of damage. This method proved very successful, demonstrating 100% accuracy in determining damage presence and type, and 99.9% for rough damage severity across 9000 tests. Phase II research leverages these results to scale this methodology to real built-up structures. MDC will work in parallel with Boeing on the AFRL/VA funded "Hot Spots" program, focusing on the application of pattern recognition methods to fault-prone composite and titanium components on ageing F-16's. The first goal will be to evaluate the limitations of this methodology, including minimal damage size and discretized severity ranges. The second goal will be to develop analytical and/or FEA techniques to minimize the required physical training.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government