The magnetic entropy changes in Pb doped Ni-Mn-Cu-Ga alloys

Krzysztof Sielicki , Justyna Zygmuntowicz , Rafał Wróblewski , Marcin Leonowicz

Abstract

Effect of Pb addition on magnetocaloric properties of Ni50Mn18,75Cu6,25-aPbaGa25 (a = 1, 2, 3, 4, 5) alloys was investigated experimentally. The magnetic measurements conducted at low field of 4 kA/m showed that addition of Pb led to separation of the both transformation temperatures and significantly shifted the structural transition effect towards lower temperatures as well as increased the Curie temperature. The analysis of isothermal magnetic curves allowed for the calculation of magnetic entropy change (ΔSM). Although the peak values of |ΔSM| for alloys containing 4 and 5 at.% Pb, ~3 J/(kg*K) and ~1.5 J/(kg*K) respectively, are low they stretch over the structural transformation and Curie temperature, and are at least 30 K wide at half maximum height.
Author Krzysztof Sielicki (FMSE / DCFM)
Krzysztof Sielicki,,
- Division of Construction and Functional Materials
, Justyna Zygmuntowicz (FMSE / DCFM)
Justyna Zygmuntowicz,,
- Division of Construction and Functional Materials
, Rafał Wróblewski (FMSE / DCFM)
Rafał Wróblewski,,
- Division of Construction and Functional Materials
, Marcin Leonowicz (FMSE / DCFM)
Marcin Leonowicz,,
- Division of Construction and Functional Materials
Journal seriesArchives of Metallurgy and Materials, ISSN 1733-3490, e-ISSN 2300-1909
Issue year2020
Vol65
No2
Pages823-825
Publication size in sheets0.3
Keywords in Englishmagnetocaloric effect; magnetic entropy change; Curie temperature; Heusler alloys
ASJC Classification2506 Metals and Alloys
DOIDOI:10.24425/amm.2020.132827
URL http://www.imim.pl/files/archiwum/Vol2_2020/41.pdf
Languageen angielski
File
The magnetic entropy changes in Pb doped Ni-Mn-Cu-Ga Alloys.pdf 424.4 KB
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 22-06-2020, ArticleFromJournal
Publication indicators Scopus Citations = 0; WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.534; WoS Impact Factor: 2018 = 0.697 (2) - 2018=0.72 (5)
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