Fatigue crack detection using built-in Sensor Cluster Network

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911W6-04-C-0034
Agency Tracking Number: A032-2445
Amount: $120,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2003
Solicitation Topic Code: A03-071
Solicitation Number: 2003.2
Small Business Information
ACELLENT TECHNOLOGIES, INC.
155C-3 Moffett Park Drive, Sunnyvale, CA, 94089
DUNS: 181539974
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Shawn Beard
 Director of Systems Integ
 (408) 745-1188
 sjb@acellent.com
Business Contact
 Amrita Kumar
Title: Director - Projects & Tec
Phone: (408) 745-1188
Email: akumar@acellent.com
Research Institution
N/A
Abstract
The performance and behavior characteristics of nearly all in-service structures can be affected by degradation resulting from sustained use as well as from exposure to severe environmental conditions. Condition awareness of structures in (near) real-time is therefore an important factor that can limit or extend their service life. Acellent Technologies proposes to develop an innovative one-of-a-kind system that will combine Acellent's current single-element SMART Layer actuator/sensor network together with multi-element phased arrays to produce a Sensor Cluster Network that has been geometrically optimized to (a) Quantitatively assess structural damage such as cracks due to fatigue, (b) Identify damage in inaccessible areas of rotorcraft structures, (c) Characterize damage growth, and (d) Provide an image of the damage size and orientation. The basis for the development will be Acellent's SMART Layer technology that utilizes a network of distributed transducers that are integrated with the structure itself and serve as sources for acousto-ultrasonic structural data. The technology in its current form can be used to identify damage location and extent and the utilization of geometrically optimized sensor/actuator clusters can further enhance the use of the methodology and improve the resolution of damage detection such that small linear fatigue cracks can be easily detected.

* information listed above is at the time of submission.

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