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Soft magnetic microwires for sensor applications

Abstract: We provide an overview of the routes allowing the optimization of magnetic softness, giant magnetoimpedance (GMI) effect and domain wall dynamics in one of the families of magnetic microwires: glass-coated microwires prepared using Taylor-Ulitovsky method. The magnetic properties of as-prepared microwires are determined mostly by the magnetoelastic anisotropy. Conventional annealing allows a considerable improvement of the domain wall dynamics in Fe-rich microwires and a slight decrease of the coercivity, however, remarkable magnetic hardening is observed after conventional furnace annealing of Co-rich microwires. Stress annealing of Fe-rich microwires allows a considerable magnetic softening and GMI effect enhancement and even more remarkable improvement of the domain wall dynamics. In Co-rich microwires stress-annealing allows the improvement of GMI effect and even the induction of transverse magnetic anisotropy at high enough annealing temperature. However, the highest GMI effect is observed for stress-annealed Co-rich microwires which present rectangular hysteresis loops. Consequently, annealed Co-rich microwires can present both, fast domain wall propagation and GMI effect. Observed induced anisotropy and related changes of the magnetic properties are discussed considering the internal stresses relaxation, back-stresses and circumferential magnetic field during proposed post-processing. Consequently, correctly designed post-processing enabled us to design the magnetic anisotropy distribution beneficial for the optimization of the GMI effect and the domain wall dynamics in magnetic microwires.

 Autoría: Zhukov A., Ipatov M., Corte-León P., Gonzalez-Legarreta L., Blanco J.M., Zhukova V.,

 Fuente: Journal of Magnetism and Magnetic Materials, 2020, 498, 166180

Editorial: Elsevier

 Fecha de publicación: 15/03/2020

Nº de páginas: 8

Tipo de publicación: Artículo de Revista

 DOI: 10.1016/j.jmmm.2019.166180

ISSN: 0304-8853,1873-4766

Proyecto español: PGC2018-099530-B-C31

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