Investigations of the ferromagnetic shape memory alloy Co-Ni-Al by X-ray Kossel microdiffraction

Abstract The ternary compound Co-Ni-Al was investigated by the X-ray Kossel microdiffraction as a member of this material class of ferromagnetic shape memory alloys for the first time. Thereby monocrystals with the nominal chemical composition Co 38 Ni 33 Al 29 were initially studied in the austenitic phase, in order to contribute to a better understanding of the complex behaviour of this material by means of a further diffraction method with a high informational content. While in the present two phase structure the precipitates could be clearly identified and confirmed as face-centred cubic cobalt solid solution by the Kossel diffraction, whereas for the expected B2-structure only 2 of the needed 5 superstructure reflections could be proved by means of the Kossel technique. A possible explanation lies besides the reason of a weak reflection intensity in a very strong discrepancy of 21 % of the ideal stoichiometric composition of (Co, Ni) 50 Al 50 in the investigated (Co, Ni) 71 Al 29 . As known from the literature to maintain the B2-structure under such conditions is only possible by the formation of an enormous number of so-called constitutional crystal defects, which could be used to explain the non-verified superstructure reflections. Moreover, the local lattice constant of the main crystal phase β was determined to a = (0.2855 ± 0,0002) nm by the Kossel technique.

Authors

Institutions

Publication Details

Journal
IOP Conference Series Materials Science and Engineering
Published
2025-02-01
DOI
https://doi.org/10.1088/1757-899x/1324/1/012009
Citations
1
Primary Topic
Shape Memory Alloy Transformations
Type
article
Field-Weighted Citation Impact
3.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigations of the ferromagnetic shape memory alloy Co-Ni-Al by X-ray Kossel microdiffraction

L.P. Potapov, Enrico Langer, Jaromı́r Kopeček
1 citations
IOP Conference Series Materials Science and Engineering
Shape Memory Alloy Transformations
3.63
article

Investigations of the ferromagnetic shape memory alloy Co-Ni-Al by X-ray Kossel microdiffraction

L.P. Potapov, Enrico Langer, Jaromı́r Kopeček
article en
1 citations

Abstract

Abstract The ternary compound Co-Ni-Al was investigated by the X-ray Kossel microdiffraction as a member of this material class of ferromagnetic shape memory alloys for the first time. Thereby monocrystals with the nominal chemical composition Co 38 Ni 33 Al 29 were initially studied in the austenitic phase, in order to contribute to a better understanding of the complex behaviour of this material by means of a further diffraction method with a high informational content. While in the present two phase structure the precipitates could be clearly identified and confirmed as face-centred cubic cobalt solid solution by the Kossel diffraction, whereas for the expected B2-structure only 2 of the needed 5 superstructure reflections could be proved by means of the Kossel technique. A possible explanation lies besides the reason of a weak reflection intensity in a very strong discrepancy of 21 % of the ideal stoichiometric composition of (Co, Ni) 50 Al 50 in the investigated (Co, Ni) 71 Al 29 . As known from the literature to maintain the B2-structure under such conditions is only possible by the formation of an enormous number of so-called constitutional crystal defects, which could be used to explain the non-verified superstructure reflections. Moreover, the local lattice constant of the main crystal phase β was determined to a = (0.2855 ± 0,0002) nm by the Kossel technique.

IOP Conference Series Materials Science and EngineeringVol. 1324(1)
Czech Academy of Sciences (CZ), Leibniz Institute for Solid State and Materials Research (DE), Technische Universität Dresden (DE)
Ministerstvo Školství, Mládeže a Tělovýchovy
Openalex Percentile: Top 14%
Shape Memory Alloy Transformations
3.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.