Please use this identifier to cite or link to this item: doi:10.22028/D291-37310
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Title: Experimental parameter identification for elastocaloric air cooling
Author(s): Michaelis, Nicolas
Welsch, Felix
Kirsch, Susanne-Marie
Schmidt, Marvin
Seelecke, Stefan
Schütze, Andreas
Language: English
Title: International journal of refrigeration : covering the theory and practice of refrigeration, including heat pumps, air conditioning, and food storage and transport
Volume: 100
Pages: 167-174
Publisher/Platform: Elsevier
Year of Publication: 2019
Free key words: Elastocaloric air cooling
Shape memory alloys
Heat transfer coefficient
Latent heat
DDC notations: 620 Engineering and machine engineering
Publikation type: Journal Article
Abstract: This contribution provides an experimental analysis of relevant parameters to determine the air cooling potential of elastocaloric shape memory alloys (SMAs) in the form of wires. An essential step consists in developing a scientific test setup, which offers the ability to determine these parameters under varying conditions like wire geometry, material composition, and process parameters. With the help of this test setup the influence of different airflow rates on the heat transfer from SMA wire to air and the coherent heat transfer coefficients as well as the approximate air temperature ΔT values are determined and presented in this contribution. Furthermore, the latent heat of the SMA material is experimentally identified with a novel approach based on comparing dynamic temperature changes achieved by elastocaloric phase transformation with direct caloric heating. Analysing these parameters will greatly support the simulation, development and construction of elastocaloric air cooling devices to provide environmentally friendly alternatives to the prevalent vapour compression based cooling principles.
DOI of the first publication: 10.1016/j.ijrefrig.2019.01.006
URL of the first publication: https://www.sciencedirect.com/science/article/abs/pii/S0140700719300064
Link to this record: urn:nbn:de:bsz:291--ds-373107
hdl:20.500.11880/33795
http://dx.doi.org/10.22028/D291-37310
ISSN: 0140-7007
Date of registration: 21-Sep-2022
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Andreas Schütze
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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