Thermal performance and SVM-based regression of natural convection in a 3D cavity filled with nanofluids as two phase mixture under combined effects of magnetic field and inner conductive hollow rotating conic object

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dc.contributor.authorSelimefendigil F.
dc.contributor.authorKocyigit Y.
dc.contributor.authorÖztop H.F.
dc.date.accessioned2024-07-22T08:02:33Z
dc.date.available2024-07-22T08:02:33Z
dc.date.issued2023
dc.description.abstractIn this study, a conductive hollow rotating conic object (H-RCO) is developed for convection control and thermal management in a 3D partially heated enclosure under uniform magnetic field with nanofluid considering two phase mixture formulation. Analysis is conducted for different parameters of interest as: Rayleigh number (Ra between 104 and 106), angular rotational speed of the H-RCO (Ω between −60 and 60), Hartmann number (Ha between 0 and 50), expansion ratio (r1 between 1.1 and 2.5) and conductivity ratio (KR between 0.01 and 50). The rotational speed and expansion ratio of the object contributes significantly to the overall performance improvements. At the highest speed of the H-RCO, the average Nusselt number (Nu) rises up to 38% when compared to cases of non-rotating object. When object with highest expansion ratio is used at rotational speed of Ω=−40, the average Nu rises by about 36%. The impacts of using magnetic field on the reduction of convective effects are stronger when rotations are active while up to 69% reduction of average Nu is seen at the highest strength. Thermal conductivity of the object at higher speeds contributes slightly to the overall heat transfer. Support vector machine based regression model is used for thermal performance predictions while model with third order polynomial kernel gives the best results as compared to high fidelity 3D computational results. © 2023 Elsevier Ltd
dc.identifier.DOI-ID10.1016/j.enganabound.2023.04.015
dc.identifier.issn09557997
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/11891
dc.language.isoEnglish
dc.publisherElsevier Ltd
dc.subjectFinite element method
dc.subjectHeat transfer
dc.subjectMagnetic field effects
dc.subjectNanofluidics
dc.subjectRegression analysis
dc.subjectSupport vector machines
dc.subjectThermal conductivity
dc.subjectExpansion ratio
dc.subjectHollow rotating cone
dc.subjectMagnetic-field
dc.subjectNanofluids
dc.subjectRotating cones
dc.subjectRotational speed
dc.subjectSupport vectors machine
dc.subjectThermal Performance
dc.subjectTwo phase mixtures
dc.subjectTwo phases flow
dc.subjectTwo phase flow
dc.titleThermal performance and SVM-based regression of natural convection in a 3D cavity filled with nanofluids as two phase mixture under combined effects of magnetic field and inner conductive hollow rotating conic object
dc.typeArticle

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