A Novel Self-sensing Local/Global Structural Health Monitoring System

Award Information
Agency: Department of Defense
Branch: Army
Contract: W31P4Q-04-C-R111
Agency Tracking Number: A032-3104
Amount: $120,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solitcitation Year: 2003
Solitcitation Topic Code: A03-147
Solitcitation Number: 2003.2
Small Business Information
ACELLENT TECHNOLOGIES, INC.
155C-3 Moffett Park Drive, Sunnyvale, CA, 94089
Duns: 043688410
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Peter Qing
 Director of Manufacturing
 (408) 745-1188
 xqing@acellent.com
Business Contact
 Amrita Kumar
Title: Director - Projects & Tec
Phone: (408) 745-1188
Email: akumar@acellent.com
Research Institution
N/A
Abstract
The objective of this proposed project is to develop dual E/M impedance and wave propagation based innovative structural health monitoring (SHM) system for application to composite structures for Army rotorcraft and unmanned air vehicle platforms. Composites can incur invisible damage from impacts, loading abrasion, operator abuse, or neglect that if unchecked may lead to lower structural reliability, higher life-cycle costs, and loss in operational capability. This situation can be rectified by the use of a built-in inspection system that can monitor structures in real-time thereby providing for inspection and damage detection with minimal labor involvement. Acellent proposes the development of a stand-alone sensory array system containing the capabilities for local and global structural area damage detection, data evaluation, wireless data transmission and data storage and processing. The system will be developed based on Acellent's SMART Layer Technology that utilizes a built-in network of piezoelectric transducers embedded on a thin dielectric carrier film that queries, monitors and evaluates the condition of a structure. Phase I will focus on demonstrating the feasibility of development of a dual methodology E/M impedance and wave propagation system using an embedded sensor network. Architecture requirements for a diagnostic/prognostic SHM system will also be developed in conjunction.

* information listed above is at the time of submission.

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