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Prediction of certain conjugate convective flow of a micropolar nanofluid in an inclined enclosure with the Lorentz force and porous medium by virtue of the artificial neural networks

Research Abstract

: Inclinedsquarecavitiesplayacritical role inengineeringapplications,partic ularlyinthermalmanagement,energystorageandelectroniccooling,whereinclinationangles in°uence convectiveheat transfer.This studyexamines conjugate convectiveheat transfer withinaninclinedsquarecavity¯lledwithmicropolarnano°uidsunderatiltedLorentzforce usinga two-phasenano°uidmodel.The systemincludes aheat-generatingporousmedium underthermalnonequilibrium, introducingcomplexdynamics.Factorssuchasthermalbuoy ancy,°uid{solidheattransfercoe±cientandmicropolar°uidpropertiesareanalyzedfortheir impact onheat transfer e±ciency.Methods:The studyuses the¯nitedi®erencemethod (FDM) to solvenonlinear equations governingconvective°owandheat transfer.Physical parameters,includingthermalbuoyancy,micropolarpropertiesandthicknessofthesolidwalls,

Research Authors
M. A. Mansour, Thirupathi Thumma, Sameh E. Ahmed, S. R. Mishra, M. A. Y. Bakier, Eman F. Mohamed, Zahra Hafed, and Muflih Alhazmi
Research Department
Research Journal
International Journal of Modern Physics B
Research Year
2025