A numerical analysis for predicting the thermal conductivity of carbon nanotube reinforced copper-matrix nanocomposites

Thermal conductivity of carbon nanotubes (CNTs) copper-matrix nanocomposites was predicted by using numerical approach. In the present study, twenty representative volume elements (RVEs) were modeled by assuming that the CNTs are distributed homogeneously in the copper (Cu) matrix. It is assumed tha...

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Main Authors: Afrooza, I.E., Binti Megat Yusoff, P.S.M., Ahmad, F., Muhsan, A.S.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32218 /
Published: EDP Sciences 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905041858&doi=10.1051%2fmatecconf%2f20141304011&partnerID=40&md5=e2fd81980318572e49762143faa8387b
http://eprints.utp.edu.my/32218/
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spelling utp-eprints.322182022-03-29T05:01:52Z A numerical analysis for predicting the thermal conductivity of carbon nanotube reinforced copper-matrix nanocomposites Afrooza, I.E. Binti Megat Yusoff, P.S.M. Ahmad, F. Muhsan, A.S. Thermal conductivity of carbon nanotubes (CNTs) copper-matrix nanocomposites was predicted by using numerical approach. In the present study, twenty representative volume elements (RVEs) were modeled by assuming that the CNTs are distributed homogeneously in the copper (Cu) matrix. It is assumed that each RVE contains different pattern of CNTs distribution while the direction, diameter and length of CNTs are held constant. The effect of the CNTs-matrix interfacial resistance was also negligible. Therefore, it was observed that the predicted values of thermal conductivity would reach to the upper-bound rule of mixtures. © 2014 Owned by the authors, published by EDP Sciences. EDP Sciences 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905041858&doi=10.1051%2fmatecconf%2f20141304011&partnerID=40&md5=e2fd81980318572e49762143faa8387b Afrooza, I.E. and Binti Megat Yusoff, P.S.M. and Ahmad, F. and Muhsan, A.S. (2014) A numerical analysis for predicting the thermal conductivity of carbon nanotube reinforced copper-matrix nanocomposites. In: UNSPECIFIED. http://eprints.utp.edu.my/32218/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Thermal conductivity of carbon nanotubes (CNTs) copper-matrix nanocomposites was predicted by using numerical approach. In the present study, twenty representative volume elements (RVEs) were modeled by assuming that the CNTs are distributed homogeneously in the copper (Cu) matrix. It is assumed that each RVE contains different pattern of CNTs distribution while the direction, diameter and length of CNTs are held constant. The effect of the CNTs-matrix interfacial resistance was also negligible. Therefore, it was observed that the predicted values of thermal conductivity would reach to the upper-bound rule of mixtures. © 2014 Owned by the authors, published by EDP Sciences.
format Conference or Workshop Item
author Afrooza, I.E.
Binti Megat Yusoff, P.S.M.
Ahmad, F.
Muhsan, A.S.
spellingShingle Afrooza, I.E.
Binti Megat Yusoff, P.S.M.
Ahmad, F.
Muhsan, A.S.
A numerical analysis for predicting the thermal conductivity of carbon nanotube reinforced copper-matrix nanocomposites
author_sort Afrooza, I.E.
title A numerical analysis for predicting the thermal conductivity of carbon nanotube reinforced copper-matrix nanocomposites
title_short A numerical analysis for predicting the thermal conductivity of carbon nanotube reinforced copper-matrix nanocomposites
title_full A numerical analysis for predicting the thermal conductivity of carbon nanotube reinforced copper-matrix nanocomposites
title_fullStr A numerical analysis for predicting the thermal conductivity of carbon nanotube reinforced copper-matrix nanocomposites
title_full_unstemmed A numerical analysis for predicting the thermal conductivity of carbon nanotube reinforced copper-matrix nanocomposites
title_sort numerical analysis for predicting the thermal conductivity of carbon nanotube reinforced copper-matrix nanocomposites
publisher EDP Sciences
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905041858&doi=10.1051%2fmatecconf%2f20141304011&partnerID=40&md5=e2fd81980318572e49762143faa8387b
http://eprints.utp.edu.my/32218/
_version_ 1741197702909132800
score 11.62408