Publication:
Non-linear GMI decoding in 3D printed magnetic encoded systems

Date

2023

Director

Publisher

Elsevier
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107258RB-C32/ES/recolecta
MCIN/AEI//PID2021-122613OB-I00
Gobierno de Navarra//
Métricas Alternativas

Abstract

The nonlinear giant magnetoimpedance (GMI) effect was explored as a highly sensitive sensing technology in 3D-printed magnetic encoded systems. Magnetic nanoparticles with low (magnetite, Fe3O4) and high (Co ferrite, Co0.7Fe2.3O4) magnetic remanence were embedded (10 wt%) in a polymeric matrix of Polylactic Acid (PLA) and Poly-ε-caprolactone (PCL) and extruded in magnetic filaments to be 3D printed by the Fused Deposition Modelling technique (FDM). Two different geometries were constructed namely, individual magnetic strips and fixed barcoded pieces. The stray magnetic fields generated by the magnetic nanoparticles were detected through the non-linear (second harmonic) GMI voltage using a soft magnetic CoFeSiB wire as the nucleus sensor. The decoding response was analyzed as a function of the magnetization remanence of the nanoparticles, the distance between the individual magnetic strips, and the position (height) of the GMI decoding sensor. It has been shown that modification of the net magnetization direction of each individual fixed strip within the barcode geometry is possible through the application of local external magnetic fields. This possibility improves the versatility of the 3D binary encoding system by adding an additional state (0 without nanoparticles, 1 or −1 depending on the relative orientation of the net magnetization along the strips) during the codifying procedure.

Description

Keywords

3D printing, Polymer-matrix composites, Three states encoding information, Non-linear GMI effect, Magnetic sensor, Magnetization direction reversal

Department

Ciencias / Ingeniería Eléctrica, Electrónica y de Comunicación / Institute for Advanced Materials and Mathematics - INAMAT2 / Institute of Smart Cities - ISC / Zientziak / Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren

Faculty/School

Degree

Doctorate program

item.page.cita

Beato-López, J. J., Algueta-Miguel, J. M., Galarreta-Rodriguez, I., Garaio, E., López-Ortega, A., Gómez-Polo, C., & Pérez-Landazábal, J. I. (2023). Non-linear GMI decoding in 3D printed magnetic encoded systems. Sensors and Actuators A: Physical, 358, 114447. https://doi.org/10.1016/j.sna.2023.114447

item.page.rights

© 2023 The Authors. This is an open access article under the CC BY-NC-ND license.

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