Numerical analysis of a near-room-temperature magnetic cooling system, Analyse numérique d'un système de froid magnétique proche de la température ambiante
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Date
2017
Authors
Mehmet Akif Ezan
Orhan Ekren
Cagri A.S. Metin
Ahmet Yilanci
Emrah Biyik
Salih Murat Kara
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 (B<inf>min</inf> and B<inf>max</inf>) 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. © 2017 Elsevier B.V. All rights reserved.
Description
Keywords
Ansys-fluent, Computational Fluid Dynamics, Magnetic Cooling, User Defined Functions, Air Conditioning, Computational Fluid Dynamics, Cooling, Cooling Systems, Demagnetization, Flow Of Fluids, Heat Exchangers, Heat Transfer, Magnetic Flux, Magnetic Refrigeration, Magnetocaloric Effects, Thermoelectric Equipment, Ansys-fluent, Demagnetization Process, Highest Temperature Span, Near Room Temperature, Numerical Approaches, Parametric -analysis, Performance Metrics, User Defined Functions, Magnetism, Air conditioning, Computational fluid dynamics, Cooling, Cooling systems, Demagnetization, Flow of fluids, Heat exchangers, Heat transfer, Magnetic flux, Magnetic refrigeration, Magnetocaloric effects, Thermoelectric equipment, ANSYS-FLUENT, Demagnetization process, Highest temperature span, Near room temperature, Numerical approaches, Parametric -analysis, Performance metrics, User Defined Functions, Magnetism, ANSYS-FLUENT, Magnetic Cooling, User Defined Functions, Computational Fluid Dynamics, 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
WoS Q
Scopus Q

OpenCitations Citation Count
17
Source
International Journal of Refrigeration
Volume
75
Issue
Start Page
262
End Page
275
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Citations
CrossRef : 11
Scopus : 20
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Mendeley Readers : 35
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