Numerical Analysis of a Near-Room Magnetic Cooling System
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Ltd.
Open Access Color
BRONZE
Green Open Access
Yes
OpenAIRE Downloads
1
OpenAIRE Views
12
Publicly Funded
No
Abstract
In this study, for a near-room-temperature magnetic cooling system, a decoupled multi-physics numerical approach (Magnetism, Fluid Flow, and Heat Transfer) is developed using a commercial CFD solver, ANSYS-FLUENT, as a design tool. User defined functions are incorporated into the software in order to take into account the magnetocaloric effect. Magnetic flux density is assumed to be linear during the magnetization and demagnetization processes. Furthermore, the minimum and maximum magnetic flux densities (Bmin and Bmax) are defined as 0.27 and 0.98, respectively. Two different sets of analyses are conducted by assuming an insulated cold heat exchanger (CHEX) and by defining an artificial cooling load in the CHEX. As a validation case, experimental work from the literature is reproduced numerically, and the results show that the current methodology is fairly accurate. Moreover, parametric analyses are conducted to investigate the effect of the velocity of heat transfer fluid (HTF) and types of HTF on the performance of the magnetic cooling system. Also, the performance metrics of the magnetic cooling system are investigated with regards to the temperature span of the magnetic cooling unit, and the cooling load. It is concluded that reducing the cycle duration ensures reaching lower temperature values. Similarly, reducing the velocity of the HTF allows reducing the outlet temperature of the HTF. In the current system, the highest temperature spans are obtained numerically as around 6 K, 5.2 K and 4.1 K for the cycle durations of 4.2 s, 6.2 s and 8.2 s, respectively.
Description
Keywords
Computational fluid dynamics, Magnetic cooling, User defined functions, Magnetic cooling, User defined functions, ANSYS-FLUENT, Computational fluid dynamics
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
Ezan, M. A., Ekren, O., Metin, Ç., Yılancı, A., Bıyık, E., and Kara, S. M. (2017). Numerical analysis of a near-room-temperature magnetic cooling system. International Journal of Refrigeration, 75, 262-275. doi:10.1016/j.ijrefrig.2016.12.018
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
15
Source
International Journal of Refrigeration
Volume
75
Issue
Start Page
262
End Page
275
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Citations
CrossRef : 11
Scopus : 20
Captures
Mendeley Readers : 34
SCOPUS™ Citations
20
checked on Apr 27, 2026
Web of Science™ Citations
19
checked on Apr 27, 2026
Page Views
765
checked on Apr 27, 2026
Downloads
863
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