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...
| Autores: | ; |
|---|---|
| Tipo de documento: | Artículo |
| Estado: | Published version |
| 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 |
| Nivel de acceso: | Acceso abierto |
| Palabra clave: | Magnetocaloric materials TFORC Thermal hysteresis |
| _version_ | 1878733150230675456 |
|---|---|
| author | Moreno Ramírez, Luis Miguel |
| author2 | Franco García, Victorino |
| author2_role | author |
| author_browse | Franco García, Victorino Moreno Ramírez, Luis Miguel |
| author_facet | Moreno Ramírez, Luis Miguel Franco García, Victorino |
| author_role | author |
| collection | idUS. Depósito de Investigación de la Universidad de Sevilla |
| 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. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_50f6a5aa7e1b51e0cbd4fcd78dbbf2ce |
| institution | Universidad de Sevilla (US) |
| instname_str | Universidad de Sevilla (US) |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:idus.us.es:11441/100994 |
| publishDate | 2020 |
| publishDateSort | 2020 |
| publisher | Multidisciplinary Digital Publishing Institute (MDPI) |
| publisherStr | Multidisciplinary Digital Publishing Institute (MDPI) |
| reponame_str | idUS. Depósito de Investigación de la Universidad de Sevilla |
| spelling | Setting the basis for the interpretation of temperature first order reversal curve (TFORC) distributions of magnetocaloric materials Moreno Ramírez, Luis Miguel Franco García, Victorino Magnetocaloric materials TFORC Thermal hysteresis 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. Army Research Laboratory W911NF-19-2-0212 Multidisciplinary Digital Publishing Institute (MDPI) https://hdl.handle.net/11441/100994 https://doi.org/10.3390/met10081039 |
| 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 |
| status_str | publishedVersion |
| title | 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_short | 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 |
| topic | Magnetocaloric materials TFORC Thermal hysteresis |
| topic_facet | Magnetocaloric materials TFORC Thermal hysteresis |
| url | https://hdl.handle.net/11441/100994 https://doi.org/10.3390/met10081039 |