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Highly Reliable Structural Health Monitoring of Smart Composite Vanes for Jet Engine

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10RA83P
Agency Tracking Number: 090122
Amount: $99,708.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T2.01
Solicitation Number: N/A
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-01-29
Award End Date (Contract End Date): 2011-01-28
Small Business Information
2363 Calle Del Mundo
Santa Clara, CA 95054-1008
United States
DUNS: 877452664
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Behzad Moslehi
 Principal Investigator
 (408) 565-9004
Business Contact
 Behzad Moslehi
Title: CEO/CTO
Phone: (408) 565-9004
Research Institution
 Auburn University
 Not Available
310 Samford Hall
Aubrun, AL 36849
United States

 (334) 844-5956
 Domestic nonprofit research organization

Intelligent Fiber Optic Systems and Auburn University propose a Fiber Bragg Grating (FBG) integrated Structural Health Monitoring (SHM) sensor system capable of providing in-situ crack detection, location and quantification of damage, as well as validating structural models, using recent advances in non-contact, non-destructive dynamic testing of composite structures. The key innovation is an FBG-based SHM system for detecting, locating and quantifying crack and de-lamination in composite structures such as smart, composite jet engine vanes with embedded FBG sensor systems. These new techniques make it possible to analyze complex structures not only non-destructively, but also without physically contacting or implanting electrical elements into test samples. The state-of-art FBG sensor system will be capable of measuring strains, stress, temperature and pressure and monitor damage to the structure under test at the same time at wide temperature ranges. IFOS and its university research collaborator will investigate the feasibility of such multi-functional FBG sensors with great potential for SHM. Advanced signal processing, system identification and damage identification, location and quantification algorithms will be applied. Potentially, the solution could evolve into an autonomous onboard monitoring system to inspect and perform Non-Destructive Evaluation and SHM.

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

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