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3D-Printing Techniques on the Development of Multiparameter Sensors Using One FBG.
Leal-Junior, Arnaldo G; Díaz, Camilo; Marques, Carlos; Frizera, Anselmo; Pontes, Maria José.
Afiliação
  • Leal-Junior AG; Mechanical Engineering Department, Federal University of Espírito Santo, Fernando Ferrari avenue, 29075-910, Vitória-ES, Brazil. leal-junior.arnaldo@ieee.org.
  • Díaz C; Graduate Program on Electrical Engineering, Federal University of Espírito Santo, Fernando Ferrari avenue, 29075-910, Vitória-ES, Brazil.
  • Marques C; Instituto de Telecomunicações and Physics Department & I3N, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.
  • Frizera A; Graduate Program on Electrical Engineering, Federal University of Espírito Santo, Fernando Ferrari avenue, 29075-910, Vitória-ES, Brazil.
  • Pontes MJ; Graduate Program on Electrical Engineering, Federal University of Espírito Santo, Fernando Ferrari avenue, 29075-910, Vitória-ES, Brazil.
Sensors (Basel) ; 19(16)2019 Aug 11.
Article em En | MEDLINE | ID: mdl-31405237
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%.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article