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Open AccessArticle

3D-Printing Techniques on the Development of Multiparameter Sensors Using One FBG

1
Mechanical Engineering Department, Federal University of Espírito Santo, Fernando Ferrari avenue, 29075-910, Vitória-ES, Brazil
2
Graduate Program on Electrical Engineering, Federal University of Espírito Santo, Fernando Ferrari avenue, 29075-910, Vitória-ES, Brazil
3
Instituto de Telecomunicações and Physics Department & I3N, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(16), 3514; https://doi.org/10.3390/s19163514
Received: 19 July 2019 / Revised: 6 August 2019 / Accepted: 9 August 2019 / Published: 11 August 2019
(This article belongs to the Section Physical Sensors)
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Abstract

We report the development of a fiber Bragg grating (FBG) sensor for multiparameter sensing using only one FBG. The FBG was half-embedded in a 3D-printed structure, which resulted in a division of the grating spectrum creating two peaks with different sensitivities with respect to different physical parameters. A numerical analysis of the proposed technique was performed using the coupled-mode theory with modified transfer matrix formulation. Then, experimental analyses were performed as function of temperature, strain and force, where the peaks showed different sensitivities in all analyzed cases. Such results enable the application of a technique for simultaneous measurement of multiple physical parameters using both peaks and the full width half maximum of the FBG embedded in a 3D structure. In the simultaneous multiparameter assessment, the proposed sensor system was able to estimate the three tested parameters (strain, temperature and force) with relative errors as low as 4%. View Full-Text
Keywords: optical fiber sensors; fiber bragg gratings; additive layer manufacturing; multiparameter sensing optical fiber sensors; fiber bragg gratings; additive layer manufacturing; multiparameter sensing
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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 (CC BY 4.0).
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Leal-Junior, A.G.; Díaz, C.; Marques, C.; Frizera, A.; Pontes, M.J. 3D-Printing Techniques on the Development of Multiparameter Sensors Using One FBG. Sensors 2019, 19, 3514.

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