Conducting Stress-Strain Analysis by Remote Sensing

Award Information
Agency: Department of Defense
Branch: Army
Contract: W31P4Q-11-C-0265
Agency Tracking Number: A11A-003-0262
Amount: $100,000.00
Phase: Phase I
Program: STTR
Awards Year: 2011
Solicitation Year: 2011
Solicitation Topic Code: A11a-T003
Solicitation Number: 2011.A
Small Business Information
Texas Research Institute Austin, Inc.
9063 Bee Caves Road, Austin, TX, -
DUNS: 625120902
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Russell Austin
 Principle Investigator
 (512) 263-2101
Business Contact
 Monte Fellingham
Title: Contracts Administrator
Phone: (512) 263-2101
Research Institution
 Univ of Alabama - Huntsville
 Gloria Greene
 Office of Sponsored Programs
Von Braun Research Hall, E-12
Huntsville, AL, 35899-
 (256) 824-2657
 Nonprofit college or university
Cracks and loose fasteners are continuing structural problems on H-60 helicopters resulting in unexpected downtime to repair/replace structures. This reduces availability to the warfighter, increases risk, and is expensive and time consuming. The proposed embedded system would provide early detection and assessment of loose fasteners and strain allowing planned repairs and mitigating problems. TRI has developed the LAHMP family of low power, lightweight, wireless, embedded and rugged sensor data collection, storage and transceiver systems. The LAHMP system is rugged, versatile, embeddable and provides monitoring of large areas with just a few COTS sensors. This SBIR effort will adapt existing LAHMP fixed wing architectures to monitoring rotorcraft structures, specifically: measuring strain and detecting loose fasteners in UH-60 structures. The breadboard system will be battery powered; communicate wirelessly over a 2.4GHz mesh network; be small and lightweight; and will maximize use of COTS components. Phase II will address ruggedization; long term reliability and battery life; and improvements to the system. Each LAHMP would be mounted on structures prone to damage and would collect data from several strain gauges and sensors allowing large area detection of loose fasteners. Data would then be available on demand for WiFi enabled devices.

* information listed above is at the time of submission.

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