Numerical Study and POD-Based Prediction of Natural Convection in a Ferrofluids-Filled Triangular Cavity with Generalized Neural Networks

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dc.contributor.authorSelimefendigil F.
dc.contributor.authorÖztop H.F.
dc.date.accessioned2024-07-22T08:13:31Z
dc.date.available2024-07-22T08:13:31Z
dc.date.issued2015
dc.description.abstractThe effects of a magnetic dipole source on the natural convection of ferrofluids in a triangular cavity are studied. A partial heater is added to the left vertical wall of the cavity while the right vertical wall is kept at the constant temperature. A magnetic dipole source is placed outside the cavity close to the heater. The governing equations of a coupled multi-physics system are solved with a commercial solver using the finite element method. Computations are performed for different ranges of parameters: Rayleigh number (104 ≤ Ra ≤ 106), strength of the magnetic dipole (0 ≤ γ ≤ 8), horizontal and vertical location of the magnetic dipole (-2.5H ≤ a ≤ -0.5H, 0.2H ≤ b ≤ 0.8H). It is observed that the interaction between natural convection and ferrofluid convection under the influence of magnetic dipole affects the flow and thermal field in such the triangular enclosure. The external magnetic field acts in such a way to decrease local heat transfer in some locations and increase it in others for certain combinations of flow parameters and therefore it can be used as a control parameter for fluid flow and heat transfer. Furthermore, an interpolation method based on Proper Orthogonal Decomposition and Generalized Neural Networks is proposed to predict the thermal performance of the system. This approach gives satisfactory results in terms of local and averaged heat transfer values. © 2015 Taylor & Francis Group, LLC.
dc.identifier.DOI-ID10.1080/10407782.2014.955345
dc.identifier.issn10407782
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/16357
dc.language.isoEnglish
dc.publisherTaylor and Francis Ltd.
dc.subjectFinite element method
dc.subjectFlow of fluids
dc.subjectMagnetic fluids
dc.subjectMagnetism
dc.subjectNatural convection
dc.subjectPrincipal component analysis
dc.subjectConstant temperature
dc.subjectExternal magnetic field
dc.subjectFluid flow and heat transfers
dc.subjectGeneralized neural network
dc.subjectInterpolation method
dc.subjectMultiphysics systems
dc.subjectProper orthogonal decompositions
dc.subjectTriangular enclosure
dc.subjectHeat transfer
dc.titleNumerical Study and POD-Based Prediction of Natural Convection in a Ferrofluids-Filled Triangular Cavity with Generalized Neural Networks
dc.typeArticle

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