Thermal Conductivity of Multiwalled Carbon Nanotubes-Kapok Seed Oil-Based Nanofluid

Ul Islam, B. and Mukhtar, A. and Saqib, S. and Mahmood, A. and Rafiq, S. and Hameed, A. and Khan, M.S. and Hamid, K. and Ullah, S. and Al-Sehemi, A.G. and Ibrahim, M. (2020) Thermal Conductivity of Multiwalled Carbon Nanotubes-Kapok Seed Oil-Based Nanofluid. Chemical Engineering and Technology, 43 (8). pp. 1638-1647. ISSN 09307516

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Abstract

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

Item Type: Article
Additional Information: cited By 4
Uncontrolled Keywords: 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
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 10 Nov 2023 03:27
Last Modified: 10 Nov 2023 03:27
URI: https://khub.utp.edu.my/scholars/id/eprint/12873

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