%J Chemical Engineering and Technology
%T Thermal Conductivity of Multiwalled Carbon Nanotubes-Kapok Seed Oil-Based Nanofluid
%R 10.1002/ceat.201900600
%V 43
%I Wiley-VCH Verlag
%P 1638-1647
%N 8
%A B. Ul Islam
%A A. Mukhtar
%A S. Saqib
%A A. Mahmood
%A S. Rafiq
%A A. Hameed
%A M.S. Khan
%A K. Hamid
%A S. Ullah
%A A.G. Al-Sehemi
%A M. Ibrahim
%D 2020
%K Backpropagation; Forecasting; Genetic algorithms; Multiwalled carbon nanotubes (MWCN); Nanotubes; Neural networks; Oils and fats; Thermal conductivity, Kapok seed oil; Levenberg-Marquardt; Multiwalled carbon nanotube (MWCNTs); Nano-particle dispersions; Nanofluids; One-step methods, Nanofluidics
%L scholars12873
%O cited By 4
%X The synthesis of a nanofluid from multiwalled carbon nanotubes (MWCNTs) and Kapok seed oil by a one-step method is reported. The nanofluid showed excellent stability of nanoparticle dispersion in the base fluid. Furthermore, this study deals with the prediction of the thermal conductivity of the MWCNTs-kapok seed oil nanofluid. To improve the prediction of the thermal conductivity of the nanofluid, the artificial neural network (ANN) computing approach was used with different algorithms including the back-propagation, Levenberg-Marquardt, and genetic algorithm (GA). Finally, the ANN-GA model is recommended for the prediction of thermal conductivity with higher accuracy. © 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim