Setting the Basis for the Interpretation of Temperature First Order Reversal Curve (TFORC) Distributions of Magnetocaloric Materials

First Order Reversal Curve (FORC) distributions of magnetic materials are a well-known tool to extract information about hysteresis sources and magnetic interactions, or to fingerprint them. Recently, a temperature variant of this analysis technique (Temperature-FORC, TFORC) has been used for the an...

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Main Authors: Luis M. Moreno-Ramírez, Victorino Franco
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Metals
Subjects:
Online Access:https://www.mdpi.com/2075-4701/10/8/1039
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spelling doaj-0cef559fe78544f5bd1dd576458ea3ae2020-11-25T03:21:33ZengMDPI AGMetals2075-47012020-08-01101039103910.3390/met10081039Setting the Basis for the Interpretation of Temperature First Order Reversal Curve (TFORC) Distributions of Magnetocaloric MaterialsLuis M. Moreno-Ramírez0Victorino Franco1Dpto. Física de la Materia Condensada, ICMSE-CSIC, Universidad de Sevilla, P.O. Box 1065, 41080 Sevilla, SpainDpto. Física de la Materia Condensada, ICMSE-CSIC, Universidad de Sevilla, P.O. Box 1065, 41080 Sevilla, SpainFirst Order Reversal Curve (FORC) distributions of magnetic materials are a well-known tool to extract information about hysteresis sources and magnetic interactions, or to fingerprint them. Recently, a temperature variant of this analysis technique (Temperature-FORC, TFORC) has been used for the analysis of the thermal hysteresis associated with first-order magnetocaloric materials. However, the theory supporting the interpretation of the diagrams is still lacking, limiting TFORC to a fingerprinting technique so far. This work is a first approach to correlate the modeling of first-order phase transitions, using the Bean–Rodbell model combined with a phenomenological transformation mechanism, with the features observed in experimental TFORC distributions of magnetocaloric materials. The different characteristics of the transformations, e.g., transition temperatures, symmetry, temperature range, etc., are correlated to distinct features of the distributions. We show a catalogue of characteristic TFORC distributions for magnetocaloric materials that exhibit some of the features observed experimentally.https://www.mdpi.com/2075-4701/10/8/1039TFORCthermal hysteresismagnetocaloric materials
collection DOAJ
language English
format Article
sources DOAJ
author Luis M. Moreno-Ramírez
Victorino Franco
spellingShingle Luis M. Moreno-Ramírez
Victorino Franco
Setting the Basis for the Interpretation of Temperature First Order Reversal Curve (TFORC) Distributions of Magnetocaloric Materials
Metals
TFORC
thermal hysteresis
magnetocaloric materials
author_facet Luis M. Moreno-Ramírez
Victorino Franco
author_sort Luis M. Moreno-Ramírez
title Setting the Basis for the Interpretation of Temperature First Order Reversal Curve (TFORC) Distributions of Magnetocaloric Materials
title_short Setting the Basis for the Interpretation of Temperature First Order Reversal Curve (TFORC) Distributions of Magnetocaloric Materials
title_full Setting the Basis for the Interpretation of Temperature First Order Reversal Curve (TFORC) Distributions of Magnetocaloric Materials
title_fullStr Setting the Basis for the Interpretation of Temperature First Order Reversal Curve (TFORC) Distributions of Magnetocaloric Materials
title_full_unstemmed Setting the Basis for the Interpretation of Temperature First Order Reversal Curve (TFORC) Distributions of Magnetocaloric Materials
title_sort setting the basis for the interpretation of temperature first order reversal curve (tforc) distributions of magnetocaloric materials
publisher MDPI AG
series Metals
issn 2075-4701
publishDate 2020-08-01
description First Order Reversal Curve (FORC) distributions of magnetic materials are a well-known tool to extract information about hysteresis sources and magnetic interactions, or to fingerprint them. Recently, a temperature variant of this analysis technique (Temperature-FORC, TFORC) has been used for the analysis of the thermal hysteresis associated with first-order magnetocaloric materials. However, the theory supporting the interpretation of the diagrams is still lacking, limiting TFORC to a fingerprinting technique so far. This work is a first approach to correlate the modeling of first-order phase transitions, using the Bean–Rodbell model combined with a phenomenological transformation mechanism, with the features observed in experimental TFORC distributions of magnetocaloric materials. The different characteristics of the transformations, e.g., transition temperatures, symmetry, temperature range, etc., are correlated to distinct features of the distributions. We show a catalogue of characteristic TFORC distributions for magnetocaloric materials that exhibit some of the features observed experimentally.
topic TFORC
thermal hysteresis
magnetocaloric materials
url https://www.mdpi.com/2075-4701/10/8/1039
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AT victorinofranco settingthebasisfortheinterpretationoftemperaturefirstorderreversalcurvetforcdistributionsofmagnetocaloricmaterials
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