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Fiber Optic Health Monitoring of 3D Woven Preforms and Composites Employing Structurally Integrated Sensors

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX16CL75P
Agency Tracking Number: 150286
Amount: $124,593.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T12.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-06-10
Award End Date (Contract End Date): 2017-06-09
Small Business Information
300 East Swedesford Road
Wayne, PA 19087-1858
United States
DUNS: 000000000
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Gary Tiscia
 Principal Investigator
 (610) 964-9000
 gary.tiscia@m-r-d.com
Business Contact
 Brian Sullivan
Title: Director
Phone: (610) 964-9000
Email: brian.sullivan@m-r-d.com
Research Institution
 Villanova University
 Susan Stearsman
 
800 E Lancaster Avenue
Villanova, PA 19085-1603
United States

 (610) 519-4221
 Domestic Nonprofit Research Organization
Abstract

Woven TPS (WTPS) is an attractive option for thermal protection because it allows for a design to be tailored to a specific mission ? material composition can be adjusted by weaving different fiber types together and controlling their placement using computer-controlled, automated, 3D weaving technology. NASA?s HEEET program is responsible for the development of WTPS, with the objective of enabling a broad range of missions. With complex material systems such as WTPS, there exists a need for in situ Structural Health Monitoring (SHM) capability designed to diagnose and report any degradation in the capability of the structure. The primary objective of the proposed effort is to leverage MR&D?s micromechanics-based Program Suite to interpret measured temperature and strain data derived from fiber optic sensors that are structurally integrated in a 3D woven composite panel. Specifically, measured strains at the constituent level will be used to compute a local stress state in several 3D woven composite test specimens under a variety of thermal and structural loads. Measured temperature data will dictate which temperature-dependent constituent material properties to use in the micromechanics model. The proposed research offers a software solution for providing a physics based interpretation of sensor data acquired at the constituent level of a 3D woven structure and computes an effective composite level response for the purposes of evaluating structural health in near real time.

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

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