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Tailoring Alnico magnets through micromagnetic simulations and machine learning

Abstract

Alnico magnets have gained renewed interest in the search for rare-earth free permanent magnets due to their high thermal stability and magnetisation. However, the limited coercivity of these shape-anisotropy-based alloys constrains their performance. Their coercivity can be improved by tailoring their structure at the micro- and nano-levels and by identifying the elemental composition and crystal structure that would increase anisotropy. Alnico alloys are composed of millimetre-to-micrometer-sized grains of different sizes and orientations. Inside each grain, magnetic nanorods embedded in a non-magnetic matrix form as a result of thermo-magnetic treatment of the cast alloy. Starting from a reference Alnico sample, we realised a finite elements micromagnetic study of exchange-decoupled rods by varying their dimensions and interrod spacing across those observed experimentally. We computed the hysteresis properties by progressing from micromagnetic simulations of a small number of rods within the magnetostatic field of their neighbours to large systems treated statistically based on the distribution of orientations of the grains. We compared the coercivity of an isolated rod with that of the exchange-decoupled system to highlight the effect of agnetostatic interactions. We computed analytically the stray field acting on a single rod as a consequence of its surrounding rods in order to confirm the scaling of the coercivity with the packing fraction p. We explored how intrinsic material properties influence magnetic behaviour by examining materials with different magnetocrystalline anisotropy constants and saturation polarisation values. Results from several hundred simulations were used to train a multi-layer perceptron regressor and predict the magnetic properties as function of the dimensions of the rods, interrod spacing and orientation of the grains. With this approach, we highlight the underlying trends by which nanoscale structuring, intrinsic material properties and grain alignment can be tailored to improve the magnetic properties of Alnico alloys.
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Category

Academic article

Language

English

Author(s)

Affiliation

  • SINTEF Industry / Sustainable Energy Technology
  • National Institute of Materials Physics
  • Slovenia
  • Danube University Krems
  • University of Oslo

Year

2026

Published in

JPhys Materials

Volume

9

Page(s)

1 - 21

View this publication at Norwegian Research Information Repository