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Titel: Optimizing Ni–Ti-based shape memory alloys for ferroic cooling
VerfasserIn: Wieczorek, Andrzej
Frenzel, Jan
Schmidt, Maarten
Maaß, Burkhard
Seelecke, Stefan
Schütze, Andreas
Eggeler, Gunther
Sprache: Englisch
Titel: Functional materials letters : FML
Bandnummer: 10
Heft: 01
Seiten: 8
Verlag/Plattform: World Scientific
Erscheinungsjahr: 2017
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Due to their large latent heats, pseudoelastic Ni–Ti-based shape memory alloys (SMAs) are attractive candidate materials for ferroic cooling, where elementary solid-state processes like martensitic transformations yield the required heat effects. The present work aims for a chemical and microstructural optimization of Ni–Ti for ferroic cooling. A large number of Ni–Ti-based alloy compositions were evaluated in terms of phase transformation temperatures, latent heats, mechanical hysteresis widths and functional stability. The aim was to identify material states with superior properties for ferroic cooling. Different material states were prepared by arc melting, various heat treatments and thermo-mechanical processing. The cooling performance of selected materials was assessed by differential scanning calorimetry, uniaxial tensile loading/unloading, and by using a specially designed ferroic cooling demonstrator setup. A Ni45Ti47.25Cu5V2.75 SMA was identified as a potential candidate material for ferroic cooling. This material combines extremely stable pseudoelasticity at room temperature and a very low hysteresis width. The ferroic cooling efficiency of this material is four times higher than in the case of binary Ni–Ti.
DOI der Erstveröffentlichung: 10.1142/S179360471740001X
URL der Erstveröffentlichung: https://www.worldscientific.com/doi/abs/10.1142/S179360471740001X
Link zu diesem Datensatz: hdl:20.500.11880/29091
http://dx.doi.org/10.22028/D291-30855
ISSN: 1793-7213
1793-6047
Datum des Eintrags: 5-Mai-2020
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Stefan Seelecke
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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