Prediction of convective heat transfer of Al2O3-water nanofluid considering particle migration using neural network

Purpose – The purpose of this paper is to attempt to investigate the particle migration effects on nanofluid heat transfer considering Brownian and thermophoretic forces. It also tries to develop a model for prediction of the convective heat transfer coefficient. Design/methodology/approach – A modi...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Engineering computations 2014-07, Vol.31 (5), p.843-863
Hauptverfasser:	Bahiraei, Mehdi, Mostafa Hosseinalipour, Seyed, Hangi, Morteza
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerospace engineering Aluminum oxide Brownian motion Coefficients Computer simulation Conservation equations Convective heat transfer Datasets Design modifications Engineering Fluid flow Fluids Heat conductivity Heat flux Heat transfer Heat transfer coefficients Literature reviews Mathematical analysis Mathematical models Migration Nanofluids Nanoparticles Nanostructure Neural networks Numerical analysis Predictions Reynolds number Studies Temperature dependence Velocity Viscosity
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!