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

Badar Ul Islam; Ahmad Mukhtar; Sidra Saqib; Abid Mahmood; Sikander Rafiq; Ayesha Hameed; Muhammad Saad Khan; Khalid Hamid; Sami Ullah; Abdullah G. Al-Sehemi; Muhammad Ibrahim

doi:10.1002/ceat.201900600

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

Badar Ul Islam
, Ahmad Mukhtar^*
, Sidra Saqib
, Abid Mahmood
, Sikander Rafiq
, Ayesha Hameed
, Muhammad Saad Khan
, Khalid Hamid
, Sami Ullah
, Abdullah G. Al-Sehemi
, Muhammad Ibrahim^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

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.

Original language	English
Pages (from-to)	1638-1647
Number of pages	10
Journal	Chemical Engineering and Technology
Volume	43
Issue number	8
DOIs	https://doi.org/10.1002/ceat.201900600
State	Published - 1 Aug 2020
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

Keywords

Kapok seed oil
Multiwalled carbon nanotubes
Nanofluid
Thermal conductivity

ASJC Scopus subject areas

General Chemistry
General Chemical Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1002/ceat.201900600

Cite this

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title = "Thermal Conductivity of Multiwalled Carbon Nanotubes-Kapok Seed Oil-Based Nanofluid",

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.",

keywords = "Kapok seed oil, Multiwalled carbon nanotubes, Nanofluid, Thermal conductivity",

author = "\{Ul Islam\}, Badar and Ahmad Mukhtar and Sidra Saqib and Abid Mahmood and Sikander Rafiq and Ayesha Hameed and Khan, \{Muhammad Saad\} and Khalid Hamid and Sami Ullah and Al-Sehemi, \{Abdullah G.\} and Muhammad Ibrahim",

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year = "2020",

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doi = "10.1002/ceat.201900600",

language = "English",

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AU - Ul Islam, Badar

AU - Mukhtar, Ahmad

AU - Saqib, Sidra

AU - Mahmood, Abid

AU - Rafiq, Sikander

AU - Hameed, Ayesha

AU - Khan, Muhammad Saad

AU - Hamid, Khalid

AU - Ullah, Sami

AU - Al-Sehemi, Abdullah G.

AU - Ibrahim, Muhammad

PY - 2020/8/1

Y1 - 2020/8/1

N2 - 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.

AB - 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.

KW - Kapok seed oil

KW - Multiwalled carbon nanotubes

KW - Nanofluid

KW - Thermal conductivity

UR - https://www.scopus.com/pages/publications/85086270438

U2 - 10.1002/ceat.201900600

DO - 10.1002/ceat.201900600

M3 - Article

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IS - 8

ER -

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this