Microstructural origins of martensite stabilization in Ni49Co1Mn37.5Sn6.5In6 metamagnetic shape memory alloy

P. Czaja , J. Przewoźnik , Maciej Kowalczyk , A. Wierzbicka-Miernik , J. Morgiel , W. Maziarz


Ordering effects in the Ni49Co1Mn37.5Sn6.5In6 alloy were studied by subjecting the alloy to annealing at 1220 K followed by water quenching and to subsequent annealing at 1070 K followed by slow cooling. Martensitic transformation temperature increases by 10 K owing to the slow cooling process, which further invites a change in the martensite structure: 6M → 10M. Across the transformation, regardless of the heat treatment applied, austenite phase is paramagnetic and it transforms into a weakly magnetic martensite. Magnetic moment of martensite is boosted due to slow cooling (ΔμeffM=1μB). Observed behaviours are associated with the changes in the degree of atomic ordering. Irrespective of the magnetic state of martensite, ordering process mitigates the transformation temperature most likely through the interaction with the free energy difference and through the influence of antiphase domains on the twinning stress.
Author P. Czaja
P. Czaja,,
, J. Przewoźnik
J. Przewoźnik,,
, Maciej Kowalczyk (FMSE / DCFM)
Maciej Kowalczyk,,
- Division of Construction and Functional Materials
, A. Wierzbicka-Miernik
A. Wierzbicka-Miernik,,
, J. Morgiel
J. Morgiel,,
, W. Maziarz
W. Maziarz,,
Journal seriesJournal of Materials Science, ISSN 0022-2461, [1573-4803 ], (A 30 pkt)
Issue year2019
Publication size in sheets0.65
Keywords in EnglishCobalt alloys; Cooling; Free energyIndium alloys; Magnetic moments; Manganese alloys; Martensitic transformations; Shape memory effect; Tin alloys
ASJC Classification2210 Mechanical Engineering; 2211 Mechanics of Materials; 2500 General Materials Science
Languageen angielski
Score (nominal)30
ScoreMinisterial score = 30.0, 04-12-2018, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 04-12-2018, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.064; WoS Impact Factor: 2017 = 2.993 (2) - 2017=2.733 (5)
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