Article Tomography-based digital twin of Nd-Fe-B permanent magnets

Anton Bolyachkin SAMURAI ORCID (National Institute for Materials Science) ; Ekaterina Dengina (National Institute for Materials Science) ; Nikita Kulesh SAMURAI ORCID (National Institute for Materials Science) ; Xin Tang SAMURAI ORCID (National Institute for Materials Science) ; Hossein Sepehri-Amin SAMURAI ORCID (National Institute for Materials Science) ; Tadakatsu Ohkubo SAMURAI ORCID (National Institute for Materials Science) ; Kazuhiro Hono SAMURAI ORCID (National Institute for Materials Science)

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Citation
Anton Bolyachkin, Ekaterina Dengina, Nikita Kulesh, Xin Tang, Hossein Sepehri-Amin, Tadakatsu Ohkubo, Kazuhiro Hono. Tomography-based digital twin of Nd-Fe-B permanent magnets. npj Computational Materials. 2024, 10 (1), 34. https://doi.org/10.1038/s41524-024-01218-5
SAMURAI

Description:

(abstract)

Many functional materials are designed at the multiscale level. To properly simulate their physical properties, large and sophisticated computer models capable of replicating the microstructure with nm-level accuracy are required. This is the case for permanent magnets, for which there is a long-standing problem of a significant offset between simulated and experimental coercivity. To overcome this problem and resolve the Brown paradox, we developed a novel approach to construct large-scale finite element models based on the microstructure tomography. It was applied to ultrafine-grained Nd-Fe-B magnets for which, besides the shape, size, and packing of the grains, we reconstructed individual regions of thin intergranular phase separated by triple junctions. Such micromagnetic model managed to reproduce not only experimental coercivity but also its mechanism according to the angular dependence of coercivity. Furthermore, a remarkable role of thin triple junctions as nucleation centers for magnetization reversa

Rights:

Keyword: Hard magnets, Digital Twin

Date published: 2024-02-12

Publisher: Springer Science and Business Media LLC

Journal:

  • npj Computational Materials (ISSN: 20573960) vol. 10 issue. 1 34

Funding:

  • Ministry of Education, Culture, Sports, Science and Technology JPMXP1122715503
  • Ministry of Education, Culture, Sports, Science and Technology JPMXP1122715503
  • Ministry of Education, Culture, Sports, Science and Technology JPMXP1122715503
  • Ministry of Education, Culture, Sports, Science and Technology JPMXP1122715503
  • Ministry of Education, Culture, Sports, Science and Technology JPMXP1122715503
  • Ministry of Education, Culture, Sports, Science and Technology JPMXP1122715503
  • Ministry of Education, Culture, Sports, Science and Technology JPMXP1122715503
  • MEXT | Japan Society for the Promotion of Science JP23H01674
  • MEXT | Japan Society for the Promotion of Science JP23H01674
  • MEXT | Japan Society for the Promotion of Science JP23H01674
  • MEXT | Japan Society for the Promotion of Science JP23H01674
  • MEXT | Japan Society for the Promotion of Science JP23H01674
  • MEXT | Japan Society for the Promotion of Science JP23H01674
  • MEXT | Japan Society for the Promotion of Science JP23H01674

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1038/s41524-024-01218-5

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Updated at: 2024-10-21 12:30:52 +0900

Published on MDR: 2024-10-21 12:30:52 +0900

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