Abstract
A type of extrinsic Fabry-Perot interferometer (EFPI) fiber optic sensor, i.e., the microcavity strain sensor, is demonstrated for embedded, high-temperature applications. The sensor is fabricated using a femtosecond (fs) laser. The fs-laser-based fabrication makes the sensor thermally stable to sustain operating temperatures as high as 800 °C. The sensor has low sensitivity toward the temperature as compared to its response toward the applied strain. The performance of the EFPI sensor is tested in an embedded application. The host material is carbon fiber/bismaleimide (BMI) composite laminate that offer thermally stable characteristics at high ambient temperatures. The sensor exhibits highly linear response toward the temperature and strain. Analytical work done with embedded optical-fiber sensors using the out-of-autoclave BMI laminate was limited until now. The work presented in this paper offers an insight into the strain and temperature interactions of the embedded sensors with the BMI composites.
Recommended Citation
A. Kaur et al., "Strain Monitoring of Bismaleimide Composites using Embedded Microcavity Sensor," Optical Engineering, vol. 55, no. 3, SPIE, Mar 2016.
The definitive version is available at https://doi.org/10.1117/1.OE.55.3.037102
Department(s)
Electrical and Computer Engineering
Second Department
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Carbon; Carbon fibers; Composite structures; Fiber optic sensors; Fibers; High temperature applications; Interferometers; Laminated composites; Microcavities; Optical fiber fabrication; Optical fibers; Temperature; Thermodynamic stability; Bismaleimides; Embedded sensors; Extrinsic Fabry Perot interferometer; Strain analysis; Structural monitoring; Fabry-Perot interferometers; Extrinsic Fabry-Perot interferometer; Optical-fiber sensor
International Standard Serial Number (ISSN)
0091-3286
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2016 SPIE, All rights reserved.
Publication Date
01 Mar 2016
Comments
The authors acknowledge the support of National Science Foundation project under Grant CMMI-1200787. This research was sponsored in part by Integrated Systems Solutions, Inc. The authors would like to thank Stratton Composite Solutions for the materials supplied.