You are here

Advanced Prognostic Health Management Technologies Using Integrated Detection Techniques with Physics of Failure Mode

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-07-C-5218
Agency Tracking Number: F061-101-1978
Amount: $749,998.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF06-101
Solicitation Number: 2006.1
Timeline
Solicitation Year: 2006
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-04-17
Award End Date (Contract End Date): 2009-08-17
Small Business Information
9063 Bee Caves Road
Austin, TX 78733
United States
DUNS: 625120902
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 David Forsyth
 Principal Investigator
 (512) 263-2101
 dforsyth@tri-austin.com
Business Contact
 Monte Fellingham
Title: Contracts Administrator
Phone: (512) 263-2101
Email: mfellingham@tri-austin.com
Research Institution
N/A
Abstract

The proportion of fatigue life that is expended during fatigue crack nucleation is significant in the materials and loading typical of aircraft structural components. The ability to measure or compute the time for fatigue damage to nucleate active fatigue cracks allows the enhanced service usage of individual aircraft components, on-condition based maintenance, and flexibility in inspection/maintenance/repair scheduling. TRI/Austin and AP/ES Inc. are developing of a structural prognostics and health management system that combines local measurements of properties of interest with the capability to model crack nucleation and growth, all integrated within a miniaturized onboard system weighing only a few pounds. The TRI team’s approach is to combine multiple sensor technologies with proven physics-based modeling on a self-contained system for a complete health assessment and prognostic capability. The TRI team combines the TRI experience in developing nondestructive inspection technologies suitable for miniaturization on TRI’s LAHMP™ family of PHM systems with the AP/ES capability in structural modeling and prediction.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government