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

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1

OpenAIRE Views

12

Publicly Funded

No
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Top 10%
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Top 10%
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Top 10%

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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.

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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

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OpenCitations Citation Count
17

Source

International Journal of Refrigeration

Volume

75

Issue

Start Page

262

End Page

275
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CrossRef : 11

Scopus : 20

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Mendeley Readers : 35

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