Role of V on the coercivity of SmFe12-based melt-spun ribbons revealed by machine learning and microstructure characterizations

Xin Tang, J. Li, A. K. Srinithi, H. Sepehri-Amin, T. Ohkubo, K. Hono

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

We employed machine-learning of a dataset extracted from literature on Sm(Fe,X)12-based alloys to understand the most influential parameters for coercivity. V-addition is found to be most influential to coercivity. The microstructure origin for coercivity in SmxFe11Ti and SmxFe10TiV (1.0≤x ≤ 2.1) melt-spun ribbons was investigated experimentally. Unlike V-free alloys, ThMn12-type structure can be stabilized in a wide range of x =1.03-1.62 in SmxFe10TiV ribbons. Coercivity increases from 0.51 T for Sm0.99Fe11Ti to 1.1 T for Sm1.06Fe10TiV optimally-annealed ribbons. The enhanced coercivity originates from formation of a Sm-enriched intergranular phase enveloping the SmFe12-based grains, increasing pinning force against the magnetic domain-wall propagation.

Original languageEnglish
Article number113925
JournalScripta Materialia
Volume200
DOIs
Publication statusPublished - 2021 Jul 15
Externally publishedYes

Keywords

  • Coercivity
  • Machine learning
  • Microstructure
  • Permanent magnet
  • SmFe
  • ThMn

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering
  • Metals and Alloys

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