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A machine learning approach to the prediction of transport and thermodynamic processes in multiphysics systems - heat transfer in a hybrid nanofluid flow in porous media

Rasool Alizadeh, Javad Mohebbi Najm Abad, Abolhasan Ameri, Mohammad Reza Mohebbi, A. Mehdizadeh, Dan Zhao, Nader Karimi

2021Journal of the Taiwan Institute of Chemical Engineers165 citationsDOI

Topics & Concepts

Nusselt numberMultiphysicsNanofluidBejan numberHeat transferMechanicsPorous mediumComputer scienceTransport phenomenaThermodynamicsMaterials scienceMechanical engineeringPhysicsEngineeringPorosityTurbulenceFinite element methodReynolds numberComposite materialNanofluid Flow and Heat TransferHeat Transfer MechanismsFluid Dynamics and Turbulent Flows
A machine learning approach to the prediction of transport and thermodynamic processes in multiphysics systems - heat transfer in a hybrid nanofluid flow in porous media | Litcius