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-Reference-Cited by-同舟云学术

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

Published:2021-07 Issue: Volume:124 Page:290-306
ISSN:1876-1070
Container-title:Journal of the Taiwan Institute of Chemical Engineers
language:en
Short-container-title:Journal of the Taiwan Institute of Chemical Engineers

Author:

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

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference62 articles.

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3. Heat transfer and fluid flow analysis of porous medium solar thermochemical reactor with quartz glass cover;Lougou;Int J Heat Mass Transf,2018

4. Simulation of convection heat transfer of magnetic nanoparticles including entropy generation using CVFEM;Alkanhal;Int J Heat Mass Transf,2019

5. Simulation of heat transfer in 2D porous tank in appearance of magnetic nanofluid;Manh;Phys A,2020

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