Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen:
Volltext verfügbar? / Dokumentlieferung
doi:10.22028/D291-30855
Dateien zu diesem Datensatz:
Es gibt keine Dateien zu dieser Ressource.
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 |
In: | |
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 |
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.