eprintid: 12873
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/28/73
datestamp: 2023-11-10 03:27:26
lastmod: 2023-11-10 03:27:26
status_changed: 2023-11-10 01:49:45
type: article
metadata_visibility: show
creators_name: Ul Islam, B.
creators_name: Mukhtar, A.
creators_name: Saqib, S.
creators_name: Mahmood, A.
creators_name: Rafiq, S.
creators_name: Hameed, A.
creators_name: Khan, M.S.
creators_name: Hamid, K.
creators_name: Ullah, S.
creators_name: Al-Sehemi, A.G.
creators_name: Ibrahim, M.
title: Thermal Conductivity of Multiwalled Carbon Nanotubes-Kapok Seed Oil-Based Nanofluid
ispublished: pub
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
note: cited By 4
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
date: 2020
publisher: Wiley-VCH Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086270438&doi=10.1002%2fceat.201900600&partnerID=40&md5=3137beb4c29fbf00c9296b64e65023d0
id_number: 10.1002/ceat.201900600
full_text_status: none
publication: Chemical Engineering and Technology
volume: 43
number: 8
pagerange: 1638-1647
refereed: TRUE
issn: 09307516
citation:   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