Scholarly PublicationUl 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.
Full text not available from this repository.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 |
|---|---|
| Impact Factor: | cited By 1 |
| 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: | Ms Sharifah Fahimah Saiyed Yeop |
| Date Deposited: | 19 Aug 2021 07:19 |
| Last Modified: | 19 Aug 2021 07:19 |
| URI: | http://scholars.utp.edu.my/id/eprint/23456 |
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