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Impedance-based Sensing Optimization & Algorithms for Visualization of Ship…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
95181
Program Year/Program:
2010 / STTR
Agency Tracking Number:
N10A-042-0344
Solicitation Year:
N/A
Solicitation Topic Code:
NAVY 10T042
Solicitation Number:
N/A
Small Business Information
Metis Design Corporation
10 Canal Park Suite 601 Cambridge, MA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2010
Title: Impedance-based Sensing Optimization & Algorithms for Visualization of Ship Hull Structural Health Monitoring Data
Agency / Branch: DOD / NAVY
Contract: N00014-10-M-0301
Award Amount: $69,999.00
 

Abstract:

The implementation of structural health monitoring (SHM) systems into naval applications has been hindered due to component quantity, including sensors, power/communication cables, and acquisition/computation units, as well as data quality. Particularly for large-area applications such ship hulls, complexity of implied system infrastructure can be impractical, and data can be worthless with attenuation and EMI pickup on long analog cables. The payoff of reliable real-time SHM would be the ability to detect/characterize in-situ damage for condition-based maintenance, thereby greatly reducing overall life-cycle costs. Metis Design Corporation (MDC) has demonstrated point-of-measurement datalogging and digital sensor-busing during prior Phase II SBIR work, which minimizes SHM infrastructure and EMI susceptibility. During the proposed STTR effort, MDC will further exploit this SHM architecture to satisfy Navy mission requirements. Phase I will have 2 main research thrusts: optimization of an impedance-based damage characterization method, and development of diagnostic visualization tools. UCSD will adapt their piezo-impedance method to be compatible with MDC hardware, optimize size/placement, and develop/calibrate diagnostic algorithms. MDC will facilitate the UCSD detection method with their mature SHM infrastructure, and provide a state-of-the-art graphical interface for visualization of diagnostic results in support of blind validation testing. Phase II would extend this tool to include prognostics.

Principal Investigator:

Seth Kessler
President
6176615616
skessler@metisdesign.com

Business Contact:

Seth Kessler
President
6176615616
skessler@metisdesign.com
Small Business Information at Submission:

Metis Design Corporation
10 Canal Park Suite 601 Cambridge, MA 02141

EIN/Tax ID: 043670030
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
U.C. San Diego
9500 Gilman Drive
Mail Code 0934
La Jolla, CA 92093
Contact: Carlos D. Molina J.D.
Contact Phone: 8585340247