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

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, Fe 3 O 4) and high (Co ferrite, Co 0.7 Fe 2.3 O 4) 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. [Display omitted] • Low & high remnant 3D printed bar magnets detected by non-linear GMI decoder. • Co ferrite particles detectable at larger heights sensor-piece. • Fe 3 O 4 particles allow better localized detection & simpler magnetization reversal. • Implementation of extra coded state "− 1" related to strip magnetization direction. • Control of the strip's direction allows reuse and magnetic reprogramming. [ABSTRACT FROM AUTHOR]