First-Order Reversal Curves of Sets of Bistable Magnetostrictive Microwires

Amorphous microwires have attracted substantial attention in the past decade because of their useful technological applications. Their bistable magnetic response is determined by positive or negative magnetostriction, respectively. First-order reversal curves (FORC) are a powerful tool for analyzing...

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Bibliographic Details
Published in:Materials 2023-03, Vol.16 (6), p.2131
Main Authors: Cabanas, Ana María, Pérez Del Real, Rafael, Laroze, David, Vázquez, Manuel
Format: Article
Language:English
Subjects:
Alloys
Amorphous substances
Anisotropy
Approximation
Coercivity
Experimental methods
Ferromagnetism
Hysteresis loops
Magnetic fields
Magnetic hysteresis
Magnetic properties
Magnetization reversal
Magnetostriction
Materials research
Mechanical properties
Research methodology
Statistical models
Wire
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Summary:Amorphous microwires have attracted substantial attention in the past decade because of their useful technological applications. Their bistable magnetic response is determined by positive or negative magnetostriction, respectively. First-order reversal curves (FORC) are a powerful tool for analyzing the magnetization reversal processes of many-body ferromagnetic systems that are essential for a deeper understanding of those applications. After theoretical considerations about magnetostatic interactions among microwires, this work introduces a systematic experimental study and analysis of the FORC diagrams for magnetostrictive microwires exhibiting an individually bistable hysteresis loop, from a single microwire to sets of an increasing number of coupled microwires, the latter considered as an intermediate case to the standard many-body problem. We performed the study for sets of quasi-identical and different hysteretic microwires where we obtained the coercivity Hc and interaction Hu fields. In the cases with relevant magnetostatic interactions, FORC analysis supplies deeper information than standard hysteresis loops since the intrinsic fluctuations of the switching field generate a complex response. For sets of microwires with very different coercivity, the coercivity distributions of the individual microwires characterize the FORC diagram.
ISSN:1996-1944
1996-1944
DOI:10.3390/ma16062131