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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Detalles Bibliográficos
Autores: Moreno Ramírez, Luis Miguel, Franco García, Victorino
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/100994
Acceso en línea:https://hdl.handle.net/11441/100994
https://doi.org/10.3390/met10081039
Access Level:acceso abierto
Palabra clave:Magnetocaloric materials
TFORC
Thermal hysteresis
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spelling Setting the basis for the interpretation of temperature first order reversal curve (TFORC) distributions of magnetocaloric materialsMoreno Ramírez, Luis MiguelFranco García, VictorinoMagnetocaloric materialsTFORCThermal hysteresisFirst 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.Army Research Laboratory W911NF-19-2-0212Multidisciplinary Digital Publishing Institute (MDPI)Física de la Materia CondensadaAgencia Estatal de Investigación. España MAT-2016-77265-R, PID2019-105720RB-I00Universidad de Sevilla US-1260179Junta de Andalucía P18-RT-7462020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/100994https://doi.org/10.3390/met10081039reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésMetals, 10 (8), 1039-.MAT-2016-77265-RPID2019-105720RB-I00US-1260179P18-RT-746W911NF-19-2-0212https://doi.org/10.3390/met10081039info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1009942026-06-17T12:51:07Z
dc.title.none.fl_str_mv Setting the basis for the interpretation of temperature first order reversal curve (TFORC) distributions of magnetocaloric materials
title Setting the basis for the interpretation of temperature first order reversal curve (TFORC) distributions of magnetocaloric materials
spellingShingle Setting the basis for the interpretation of temperature first order reversal curve (TFORC) distributions of magnetocaloric materials
Moreno Ramírez, Luis Miguel
Magnetocaloric materials
TFORC
Thermal hysteresis
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
dc.creator.none.fl_str_mv Moreno Ramírez, Luis Miguel
Franco García, Victorino
author Moreno Ramírez, Luis Miguel
author_facet Moreno Ramírez, Luis Miguel
Franco García, Victorino
author_role author
author2 Franco García, Victorino
author2_role author
dc.contributor.none.fl_str_mv Física de la Materia Condensada
Agencia Estatal de Investigación. España MAT-2016-77265-R, PID2019-105720RB-I00
Universidad de Sevilla US-1260179
Junta de Andalucía P18-RT-746
dc.subject.none.fl_str_mv Magnetocaloric materials
TFORC
Thermal hysteresis
topic Magnetocaloric materials
TFORC
Thermal hysteresis
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.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/100994
https://doi.org/10.3390/met10081039
url https://hdl.handle.net/11441/100994
https://doi.org/10.3390/met10081039
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Metals, 10 (8), 1039-.
MAT-2016-77265-R
PID2019-105720RB-I00
US-1260179
P18-RT-746
W911NF-19-2-0212
https://doi.org/10.3390/met10081039
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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