Published July 2021 | Version v1
Journal article

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

  • 1. International Center for Young Scientists, National Institute for Materials Science, Tsukuba 305-0047 (Japan)
  • 2. Elements Strategy Initiative Center for Magnetic Materials, National Institute for Materials Science, Tsukuba 305-0047 (Japan)
  • 3. Graduate School of Science and Technology, University of Tsukuba, Tsukuba 305-8571 (Japan)

Description

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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scriptamat.2021.113925

Additional details

Identifiers

DOI
10.1016/j.scriptamat.2021.113925;
PII
S1359646221002050;

Publishing Information

Journal Title
Scripta Materialia
Journal Volume
200
Journal Page Range
vp.
ISSN
1359-6462
CODEN
SCMAF7

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53120322
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ALLOYS; ANNEALING; COERCIVE FORCE; MACHINE LEARNING; MAGNETIC FLUX; MICROSTRUCTURE
Descriptors DEC
ALGORITHMS; ARTIFICIAL INTELLIGENCE; HEAT TREATMENTS; LEARNING; MATHEMATICAL LOGIC

Optional Information

Copyright
Copyright (c) 2021 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.