Version 1
: Received: 31 May 2018 / Approved: 31 May 2018 / Online: 31 May 2018 (11:41:37 CEST)
How to cite:
Kwon, Y.; Naeem, K.; Jeon, M.Y.; Kwon, I. Enhancement of Distributed Temperature Sensitivity Using Al-Coated Fiber in OFDR. Preprints2018, 2018050477. https://doi.org/10.20944/preprints201805.0477.v1
Kwon, Y.; Naeem, K.; Jeon, M.Y.; Kwon, I. Enhancement of Distributed Temperature Sensitivity Using Al-Coated Fiber in OFDR. Preprints 2018, 2018050477. https://doi.org/10.20944/preprints201805.0477.v1
Kwon, Y.; Naeem, K.; Jeon, M.Y.; Kwon, I. Enhancement of Distributed Temperature Sensitivity Using Al-Coated Fiber in OFDR. Preprints2018, 2018050477. https://doi.org/10.20944/preprints201805.0477.v1
APA Style
Kwon, Y., Naeem, K., Jeon, M.Y., & Kwon, I. (2018). Enhancement of Distributed Temperature Sensitivity Using Al-Coated Fiber in OFDR. Preprints. https://doi.org/10.20944/preprints201805.0477.v1
Chicago/Turabian Style
Kwon, Y., Min Yong Jeon and Il-Bum Kwon. 2018 "Enhancement of Distributed Temperature Sensitivity Using Al-Coated Fiber in OFDR" Preprints. https://doi.org/10.20944/preprints201805.0477.v1
Abstract
We present a distributed optical-fiber temperature sensor with enhanced sensitivity based on an Al-coated fiber using the Rayleigh backscattering spectra (RBS) shift in optical frequency-domain reflectometry (OFDR). The Al-coated sensing fiber with a higher thermal expansion coefficient compared to silica produces a strain-coupled shift in the RBS under an increase in temperature. This effect leads to an enhanced temperature sensitivity of the distributed measurement scheme. Our results revealed that the temperature sensitivity obtained using the Al-coated fiber in OFDR was ~56% higher relative to that of a single-mode fiber. Moreover, the minimum measurable temperature recorded was 1 °C with a spatial resolution of 5 cm.
Keywords
optical frequency domain reflectometry; distributed sensor; temperature sensor; tunable laser; coated fiber
Subject
Physical Sciences, Optics and Photonics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.