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dc.contributor.authorJović, Srđan
dc.contributor.authorKalaba, Dragan
dc.contributor.authorŽivković, Predrag
dc.contributor.authorVirijević, Aleksandar
dc.date.accessioned2022-09-26T06:59:04Z
dc.date.available2022-09-26T06:59:04Z
dc.date.issued2019-06
dc.identifier.urihttps://platon.pr.ac.rs/handle/123456789/653
dc.description.abstractIn this paper, the potential of adaptive neuro fuzzy inference system (ANFIS) was appraised for investigation of thermal performances of a minichannel heat sink for cooling of electronics using nanofluid coolant instead of pure water. The process, which simulates the thermal performances with ANFIS network, was constructed. The developed ANFIS network was with three neurons in the input layer, and one neuron (thermal performances) in the output layer. Since there are three thermal performances investigated, three ANFIS networks are created. The inputs were flow rate, as well as the Reynolds number. The third input represents the nanofluid concentration. The Al2O3–H2O nanofluid including the volume fraction was used as a coolant. Obtained experimental results showed the higher improvement of the thermal performances using nanofluid instead of pure distilled water. ANFIS results show that an improvement in predictive accuracy and capability of generalization can be achieved by the ANFIS approach for heat sink base temperature prediction.en_US
dc.language.isoen_USen_US
dc.publisherPhysica A: Statistical Mechanics and its Applicationsen_US
dc.rightsАуторство-Некомерцијално-Без прерада 3.0 САД*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.titlePotential of adaptive neuro-fuzzy methodology for investigation of heat transfer enhancement of a minichannel heat sinken_US
dc.title.alternativePhysica A: Statistical Mechanics and its Applicationsen_US
dc.typeclanak-u-casopisuen_US
dc.description.versionpublishedVersionen_US
dc.identifier.doi10.1016/j.physa.2019.02.019
dc.citation.volume523
dc.subject.keywordsNanofluiden_US
dc.subject.keywordsHeat transferen_US
dc.subject.keywordsEstimationen_US
dc.type.mCategoryM22en_US
dc.type.mCategoryopenAccessen_US
dc.type.mCategoryM22en_US
dc.type.mCategoryopenAccessen_US


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Ауторство-Некомерцијално-Без прерада 3.0 САД
Osim gde je drugačije navedeno, licenca ovog rada je opisana saАуторство-Некомерцијално-Без прерада 3.0 САД