JOURNAL ARTICLE
A Study of R2T14B (R=Y, Nd, Gd, Ho, T=Fe, Co) Hard Magnetic Materials via Magnetometry and Atomic Force Microscopy.
Published In: NANO (1793-2920), 2023, v. 18, n. 10. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Tereshina, Irina; Davydov, Vladislav; Kaminskaya, Tatiana; Pelevin, Ivan 3 of 3
Abstract
Magnetometry and atomic force microscopy (AFM) were used to study the magnetic and structural properties of the R–Fe–B-type (R = Y, Nd, Gd, Ho) alloys. The alloys were synthesized by means of induction melting. The nanocrystalline state of the R–Fe–B-type alloys was reached, mainly, by melt spinning (MS). A multistage treatment of R–Fe–B-type alloys, which included severe plastic deformation of melt-quenched ribbons and subsequent heat treatment, was also used. The surface morphology of samples was studied in detail to interpret the observed magnetic hysteresis loops of the samples. It was found that the type of rare earth ion and treatment methods had the most important influence on the microstructure and magnetic properties. Magnetic and structural properties of the R-Fe-B-type (R = Y, Nd, Gd, Ho) alloys were studied. Samples were synthesized by means of induction melting with subsequent melt spinning. A multistage treatment including severe plastic deformation and heat treatment was also performed. The surface morphology of samples was studied in details to interpret the observed magnetic properties. The type of R ion and treatment methods had the most important influence on the microstructure and magnetic properties. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:NANO (1793-2920). 2023/09, Vol. 18, Issue 10, p1
- Document Type:Article
- Subject Area:Science
- Publication Date:2023
- ISSN:1793-2920
- DOI:10.1142/S1793292023500741
- Accession Number:173434368
- Copyright Statement:Copyright of NANO (1793-2920) is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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