Numerical analysis of the influence of magnetic field waveforms on the performance of active magnetic regenerators
Autor: | Jader R. Barbosa, Gusttav B. Lang, Fábio P. Fortkamp, Jaime Lozano |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Materials science Mechanical Engineering Applied Mathematics General Engineering Aerospace Engineering 02 engineering and technology Mechanics Coefficient of performance Cooling capacity Industrial and Manufacturing Engineering Magnetic field 020901 industrial engineering & automation Automotive Engineering Heat transfer Regenerative heat exchanger Fluid dynamics Magnetic refrigeration Porous medium |
Zdroj: | Journal of the Brazilian Society of Mechanical Sciences and Engineering. 42 |
ISSN: | 1806-3691 1678-5878 |
DOI: | 10.1007/s40430-020-02453-9 |
Popis: | Magnetic cooling is an alternative to vapor compression that does not rely on the use of hazardous substances. The refrigerant is a solid material which reacts to oscillations in magnetic field by changing its temperature (the magnetocaloric effect). In active magnetic regenerators, the magnetocaloric material arranged as a porous medium is subjected to an oscillating fluid flow to allow heat transfer from a cold source to a hot sink in a thermodynamic cooling cycle. Although the literature is abundant with studies on the influence of the fluid flow waveform on magnetic refrigeration devices, the influence of the magnetic field waveform has been much less investigated. In this work, we make use of an active magnetic regenerator numerical model with different mathematically defined waveforms to determine which operating parameters yield the highest values of cooling capacity and coefficient of performance for a specific set of operating conditions. The results show that the best performance is achieved when the magnetic field is kept constant for the same time duration of the fluid flow through the magnetized material, and the transition times between the high and low levels of the magnetic field should be as short as possible. |
Databáze: | OpenAIRE |
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