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Investigation on magnetic critical behavior related to its magnetocaloric effect in Mn0.5Zn0.5Fe2O4 spinel ferrite
In this work, we have explored the magnetic critical behavior of Mn 0.5 Zn 0.5 Fe 2 O 4 spinel ferrite related to their magnetocaloric properties. The X-ray diffraction analysis shows the sample crystallizes in the cubic system with Fd3m space group. The magnetization versus temperature measurement...
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Published in: | Applied physics. A, Materials science & processing Materials science & processing, 2022, Vol.128 (7), Article 580 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this work, we have explored the magnetic critical behavior of Mn
0.5
Zn
0.5
Fe
2
O
4
spinel ferrite related to their magnetocaloric properties. The X-ray diffraction analysis shows the sample crystallizes in the cubic system with
Fd3m
space group. The magnetization versus temperature measurement shows that the sample exhibits a paramagnetic (PM)-to-ferromagnetic (FM) transition at Curie temperature,
T
C
~ 345 K. Additionally, Arrott plots and Landau theory were also studied to assess magnetic phase ordering in the present compound, and such investigations indicate that the phase transition from the PM to FM states is of second order. The maximum magnetic entropy change,
Δ
S
M
max
~ 1.1 Jkg
−1
K
−1
and refrigeration capacity,
RC
~ 116 Jkg
−1
were observed under the applied field of
H
= 25 kOe. Also, an excellent agreement has been found between the magnetic entropy change estimated by the Landau theory and those obtained using the classical Maxwell relation. The critical behavior of the Mn
0.5
Zn
0.5
Fe
2
O
4
has been studied by means of modified Arrott plot, Kouvel–Fisher method, critical isotherm, and Widom scaling. The as-obtained critical exponents [
β
= 0.51 and
γ
= 1.11 for MAP,
β
= 0.48 and
γ
= 1.07 for KF] indicate that the critical behavior of the present compound is close to the mean-field model. |
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ISSN: | 0947-8396 1432-0630 |
DOI: | 10.1007/s00339-022-05724-5 |