Modelling the effects of mixing ratio and temperature on the thermal conductivity of GNP-Alumina hybrid nanofluids: A comparison of ANN, RSM, and linear regression methods

This research aimed to evaluate and compare the efficacy of three distinct methods for forecasting the thermal conductivity of GNP-Alumina hybrid nanofluids. The methods under consideration were artificial neural network (ANN), response surface methodology (RSM), and linear regression (LR). The pred...

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Bibliographic Details

Published in:	Heliyon
Main Authors:	Adeola Borode, Peter Olubambi
Format:	Article
Language:	English
Published:	Elsevier 2023-08-01
Subjects:	Hybrid nanofluid Graphene nanoplatelet Alumina: artificial neural network Response surface methodology Regression Thermal conductivity
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844023064368