NASA STTR 2009 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 09-1 T2.01-9878
RESEARCH SUBTOPIC TITLE: Foundational Research for Aeronautics Experimental Capabilities
PROPOSAL TITLE: Highly Reliable Structural Health Monitoring of Smart Composite Vanes for Jet Engine

SMALL BUSINESS CONCERN (SBC): RESEARCH INSTITUTION (RI):
NAME: Intelligent Fiber Optic Systems Corporation NAME: Auburn University
STREET: 2363 Calle Del Mundo STREET: 310 Samford Hall
CITY: Santa Clara CITY: Aubrun
STATE/ZIP: CA  95054 - 1008 STATE/ZIP: AL  36849 - 5131
PHONE: (408) 565-9000 PHONE: (334) 844-5956

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Behzad Moslehi
bm@ifos.com
2363 Calle Del Mundo
Santa Clara, CA 95054 - 1008
(408) 565-9004

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 3
End: 4

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
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.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The proposed project has direct NASA applications in the following areas regarding aerospace vehicles and structures:
o Automated Nondestructive Evaluation of fault development in structural components:
o Integrated Vehicle Health Monitoring (IVHM)
o Flight control System• Real-time autonomous sensor validity monitors
o Monitor statistical manufacturing, assembly process and control; internal temperature and pressure monitoring of composite materials during the curing process; composite bonded repairs; sandwich structures; gun barrel; reusable launch vehicles; burst testing of pressure vessels and tanks; aero propulsion flight tests
o Self-monitoring structures with alarm and abort capabilities

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
For aerospace vehicle health monitoring applications, this fiber sensor network and method will significantly increase the sensing capability, extending the applicability of grating-based fiber-optic sensors systems and at low cost, as well as enabling a dynamically configurable deployment of embedded transducers into a structure. Further applications include instrumentation for jet turbines and Flight Control Systems, oil exploration, marine structures and nuclear power plants requiring real-time control and monitoring, and critical infrastructure monitoring for homeland security.

NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.

TECHNOLOGY TAXONOMY MAPPING
Launch and Flight Vehicle
Sensor Webs/Distributed Sensors


Form Generated on 09-18-09 10:14