Mehmet Akif EzanOrhan EkrenCagri A.S. MetinAhmet YilanciEmrah BiyikSalih Murat KaraEkren, OrhanYilanci, AhmetKara, Salih MuratEzan, Mehmet AkifBiyik, EmrahMetin, Cagri2025-10-062017014070070140-70071879-208110.1016/j.ijrefrig.2016.12.0182-s2.0-85012237765https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012237765&doi=10.1016%2Fj.ijrefrig.2016.12.018&partnerID=40&md5=b94b5add9edf66b827fcf703037d8741https://gcris.yasar.edu.tr/handle/123456789/9696https://doi.org/10.1016/j.ijrefrig.2016.12.018In 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.Englishinfo:eu-repo/semantics/openAccessAnsys-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, MagnetismAir 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, MagnetismANSYS-FLUENTMagnetic CoolingUser Defined FunctionsComputational Fluid DynamicsArticle