Numerical Analysis of a Near-Room Magnetic Cooling System
| dc.contributor.author | Ezan, Mehmet Akif | |
| dc.contributor.author | Ekren, Orhan | |
| dc.contributor.author | Metin, Çağrı | |
| dc.contributor.author | Yılancı, Ahmet | |
| dc.contributor.author | Bıyık, Emrah | |
| dc.contributor.author | Kara, Salih Murat | |
| dc.coverage.doi | 10.1016/j.ijrefrig.2016.12.018 | |
| dc.date.accessioned | 2017-10-13T11:49:38Z | |
| dc.date.available | 2017-10-13T11:49:38Z | |
| dc.date.issued | 2017 | |
| dc.description.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. | en_US |
| dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK 114M829) | en_US |
| dc.identifier.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 | en_US |
| dc.identifier.doi | 10.1016/j.ijrefrig.2016.12.018 | en_US |
| dc.identifier.doi | 10.1016/j.ijrefrig.2016.12.018 | |
| dc.identifier.issn | 0140-7007 | |
| dc.identifier.scopus | 2-s2.0-85012237765 | |
| dc.identifier.uri | http://doi.org/10.1016/j.ijrefrig.2016.12.018 | |
| dc.identifier.uri | https://hdl.handle.net/11147/6351 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd. | en_US |
| dc.relation.ispartof | International Journal of Refrigeration | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Computational fluid dynamics | en_US |
| dc.subject | Magnetic cooling | en_US |
| dc.subject | User defined functions | en_US |
| dc.title | Numerical Analysis of a Near-Room Magnetic Cooling System | en_US |
| dc.title.alternative | Analyse numérique d’un système de froid magnétique proche de la température ambiante | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Kara, Salih Murat | |
| gdc.bip.impulseclass | C4 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C4 | |
| gdc.coar.access | open access | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | İzmir Institute of Technology. Electrical and Electronics Engineering | en_US |
| gdc.description.endpage | 275 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.startpage | 262 | en_US |
| gdc.description.volume | 75 | en_US |
| gdc.description.wosquality | Q1 | |
| gdc.identifier.openalex | W2566621289 | |
| gdc.identifier.wos | WOS:000397558400024 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.accesstype | BRONZE | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.downloads | 1 | |
| gdc.oaire.impulse | 6.0 | |
| gdc.oaire.influence | 3.3709877E-9 | |
| gdc.oaire.isgreen | true | |
| gdc.oaire.keywords | Magnetic cooling | |
| gdc.oaire.keywords | User defined functions | |
| gdc.oaire.keywords | ANSYS-FLUENT | |
| gdc.oaire.keywords | Computational fluid dynamics | |
| gdc.oaire.popularity | 9.998371E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.oaire.views | 12 | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 0.27208348 | |
| gdc.openalex.normalizedpercentile | 0.6 | |
| gdc.opencitations.count | 15 | |
| gdc.plumx.crossrefcites | 11 | |
| gdc.plumx.mendeley | 34 | |
| gdc.plumx.scopuscites | 20 | |
| gdc.scopus.citedcount | 20 | |
| gdc.wos.citedcount | 19 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 9af2b05f-28ac-4003-8abe-a4dfe192da5e |
