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Titel: Novel Experimental Approach to Determine Elastocaloric Latent Heat
VerfasserIn: Michaelis, Nicolas
Welsch, Felix
Kirsch, Susanne-Marie
Seelecke, Stefan
Schütze, Andreas
Sprache: Englisch
Titel: Shape memory and superelasticity : advances in science and technology
Bandnummer: 6
Heft: 1
Seiten: 352-361
Verlag/Plattform: Springer
Erscheinungsjahr: 2020
Freie Schlagwörter: Shape memory alloys
Elastocaloric cooling and heating
Latent heat
Experimental approach
DDC-Sachgruppe: 620 Ingenieurwissenschaften und Maschinenbau
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: One of the most important parameters of superelastic shape memory alloys to be used in elastocaloric cooling and heating processes is their specific latent heat. Usually, the latent heat of a material is determined by differential scanning calorimetry (DSC) where the material phase transformation is induced thermally under zero stress. During elastocaloric processes however, the latent heat becomes accessible by stress-induced transformation under tensile or compression loading and unloading of the sample. In recent elastocaloric experiments, we observed drastic differences between latent heat values determined in DSC experiments and the ΔT values observed in nearly adiabatic elastocaloric cycles, which reflect the latent heat; in fact, the DSC experiments predicted rather pessimistic values and thus poor cooling performance. Based on these observations we developed and tested a novel experimental approach to determine the latent heat of superelastic materials directly during the elastocaloric process. By comparing or combining direct Joule heating with the strain based process we are able to accurately determine the latent heat for both tensile loading and unloading for any elastocaloric heating or cooling process. Furthermore, the influence of applied mechanical parameters as well as material conditioning on the latent heat can be observed in the elastocaloric experiment.
DOI der Erstveröffentlichung: 10.1007/s40830-019-00249-y
URL der Erstveröffentlichung: https://link.springer.com/article/10.1007/s40830-019-00249-y
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-372534
hdl:20.500.11880/33770
http://dx.doi.org/10.22028/D291-37253
ISSN: 2199-3858
2199-384X
Datum des Eintrags: 16-Sep-2022
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Andreas Schütze
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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