Characterization of thermal hysteresis in magnetocaloric NiMnIn Heusler alloys by Temperature First Order Reversal Curves (TFORC)

•T-FORC methodology is applied to Heusler alloys.•Similar compositions cause similar Curie temperatures but differences in hysteresis.•Separation between Tc and martensitic transition affect T-FORC distributions.•A model of the transformation explains the features of the distributions.•Different tra...

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Bibliographic Details
Published inJournal of alloys and compounds Vol. 867; p. 159184
Main Authors Díaz-García, Á., Moreno-Ramírez, L.M., Law, J.Y., Albertini, F., Fabbrici, S., Franco, V.
Format Journal Article
LanguageEnglish
Published Lausanne Elsevier B.V 25.06.2021
Elsevier BV
Subjects
Composition
Curie temperature
Heusler alloys
Hysteresis
Magnetocaloric materials
Martensitic transformations
Stoichiometry
TFORC
Thermal hysteresis
Thermodynamic properties
Transition temperature
Heusler alloys
Magnetocaloric materials
Thermal hysteresis
TFORC
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Summary:•T-FORC methodology is applied to Heusler alloys.•Similar compositions cause similar Curie temperatures but differences in hysteresis.•Separation between Tc and martensitic transition affect T-FORC distributions.•A model of the transformation explains the features of the distributions.•Different transformation rates during the transition define the distributions. The temperature variant of the First-Order Reversal Curves (TFORC) technique has been applied to study the thermal hysteresis of two magnetocaloric Heusler alloys with slightly different compositions that are close to the stoichiometry Ni50Mn34In16. The similarity of the compositions causes the samples to have similar Curie temperature but different martensitic transition temperature and thermal hysteresis, leading to different features when analyzing the TFORC distributions due to the different relative distance between the two transitions. The asymmetry of the martensitic transformation upon cooling and heating has relevant effects on the TFORC distributions. The experimental results have been compared to the predictions of a model of the transformation, which allows to separate the contributions of the magneto-structural transformation and the thermomagnetic behavior of both martensitic and austenitic phases, allowing to determine the origin of the different features of the distributions.
ISSN:0925-8388
1873-4669
DOI:10.1016/j.jallcom.2021.159184