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Artificial intelligence approach for energy and entropy analyses of NiFe2O4/H2O nanofluid flow in a tube with vortex generator

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dc.contributor.authorGurdal, M
dc.date.accessioned2023-06-12T22:00:51Z
dc.date.available2023-06-12T22:00:51Z
dc.date.issued2023.01.01
dc.identifier.doi10.1016/j.enganabound.2023.04.016
dc.identifier.eissn1873-197X
dc.identifier.endpage292
dc.identifier.issn0955-7997
dc.identifier.issue
dc.identifier.startpage277
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000990605900001&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/15818
dc.identifier.volume152
dc.identifier.wosWOS:000990605900001
dc.relation.ispartofENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
dc.subjectArtificial neural network
dc.subjectForced heat convection
dc.subjectWavy tape insert
dc.subjectNanofluid flow
dc.subjectEntropy
dc.titleArtificial intelligence approach for energy and entropy analyses of NiFe2O4/H2O nanofluid flow in a tube with vortex generator
dc.typeArticle
dspace.entity.typeWos

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