Published March 15, 2015 | Version v1
Journal article

Intergrain exchange interaction estimation from the remanence magnetization analysis

Description

Analysis of δm(H)=[Md(H)−Mr(∞)+2Mr(H)]/Mr(∞) curves constructed from dc demagnetization and isothermal remanent magnetization (Md(H) and Mr(H) respectively) is important for characterization of the interactions in ferromagnets. Up to now, it has been mainly used for qualitative deductions about them. In this work, the novel functional relation between the maximum of the δm(H) plot and the microscopic parameters of the weakly coupled Stoner–Wohlfarth ensemble with the isotropic distribution of easy magnetization axes was established using computer modeling. It allows quantitative analysis in the frame of the model to be performed. Finally, a new method of estimating the intergrain exchange interaction constant for nanostructured high anisotropy magnets could be formulated taking into account the results of the modeling. - Highlights: • Computer modelling of the weakly coupled Stoner–Wohlfarth like ensemble was performed. • The novel functional relation for maxima of the Kelly plots is established. • Method of the estimation of intergrain exchange interaction constant is formulated

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jmmm.2014.11.064

Additional details

Identifiers

DOI
10.1016/j.jmmm.2014.11.064;
PII
S0304-8853(14)01181-0;

Publishing Information

Journal Title
Journal of Magnetism and Magnetic Materials
Journal Volume
378
Journal Page Range
p. 362-366
ISSN
0304-8853
CODEN
JMMMDC

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46117936
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ANISOTROPY; COMPUTERIZED SIMULATION; COUPLING; DEMAGNETIZATION; DIAGRAMS; EXCHANGE INTERACTIONS; FERROMAGNETISM; MAGNETIZATION; MAGNETS; NANOSTRUCTURES
Descriptors DEC
EQUIPMENT; INFORMATION; INTERACTIONS; MAGNETISM; SIMULATION

Optional Information

Copyright
Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.