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CFD SIMULATION OF NATURAL CONVECTION HEAT TRANSFER IN NANOFLUIDS

Nanofluids are classified as promising heat transfer medium due to their remarkable heat transfer enhancement properties. A significant amount of studies in this field has been carried out extensively to analyze the usage of nanofluids in the improvement of thermal management. However, limited studi...

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Main Author: KE XIN, LOKE
Format: Final Year Project
Language:English
Published: IRC 2017
Subjects:
TP Chemical technology
Online Access:http://utpedia.utp.edu.my/18045/1/LOKE%20KE%20XIN_18070_HARDBOUND%20DISSERTATION.pdf
http://utpedia.utp.edu.my/18045/
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spelling my-utp-utpedia.180452018-08-01T09:32:24Z http://utpedia.utp.edu.my/18045/ CFD SIMULATION OF NATURAL CONVECTION HEAT TRANSFER IN NANOFLUIDS KE XIN, LOKE TP Chemical technology Nanofluids are classified as promising heat transfer medium due to their remarkable heat transfer enhancement properties. A significant amount of studies in this field has been carried out extensively to analyze the usage of nanofluids in the improvement of thermal management. However, limited studies are reported in terms of numerical investigation, especially on the effect of thermophysical properties in nanofluids’ heat transfer behavior in an enclosure. Hence, this project is carried out to numerically investigate the heat transfer characteristic of alumina-oil nanofluids in a 3-dimentional rectangular enclosure in terms of the effect of temperature range (20K ≤ ΔT ≤ 60 K), nanoparticles concentration (0 ≤ wt% ≤ 3.0) and thermophysical properties (density, viscosity, thermal conductivity and specific heat capacity), using Computational Fluid Dynamics (CFD) simulation tool ANSYS Fluent 15.0. The overall heat transfer performance was analyzed computationally in terms of Nusselt number, Rayleigh number and overall heat transfer coefficient, as well as the velocity and temperature distribution in the enclosure. Significant increase in heat transfer coefficient can be observed with increasing of nanoparticles, whereby the optimum temperature difference between hot and cold surface lies on 40K. Each thermophysical property of nanofluid carries significant effect on heat transfer performance. Density and thermal conductivity exert beneficial effects whereas viscosity and heat capacity deteriorate heat transfer performance of nanofluid. IRC 2017-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/18045/1/LOKE%20KE%20XIN_18070_HARDBOUND%20DISSERTATION.pdf KE XIN, LOKE (2017) CFD SIMULATION OF NATURAL CONVECTION HEAT TRANSFER IN NANOFLUIDS. IRC, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
KE XIN, LOKE
CFD SIMULATION OF NATURAL CONVECTION HEAT TRANSFER IN NANOFLUIDS
description Nanofluids are classified as promising heat transfer medium due to their remarkable heat transfer enhancement properties. A significant amount of studies in this field has been carried out extensively to analyze the usage of nanofluids in the improvement of thermal management. However, limited studies are reported in terms of numerical investigation, especially on the effect of thermophysical properties in nanofluids’ heat transfer behavior in an enclosure. Hence, this project is carried out to numerically investigate the heat transfer characteristic of alumina-oil nanofluids in a 3-dimentional rectangular enclosure in terms of the effect of temperature range (20K ≤ ΔT ≤ 60 K), nanoparticles concentration (0 ≤ wt% ≤ 3.0) and thermophysical properties (density, viscosity, thermal conductivity and specific heat capacity), using Computational Fluid Dynamics (CFD) simulation tool ANSYS Fluent 15.0. The overall heat transfer performance was analyzed computationally in terms of Nusselt number, Rayleigh number and overall heat transfer coefficient, as well as the velocity and temperature distribution in the enclosure. Significant increase in heat transfer coefficient can be observed with increasing of nanoparticles, whereby the optimum temperature difference between hot and cold surface lies on 40K. Each thermophysical property of nanofluid carries significant effect on heat transfer performance. Density and thermal conductivity exert beneficial effects whereas viscosity and heat capacity deteriorate heat transfer performance of nanofluid.
format Final Year Project
author KE XIN, LOKE
author_facet KE XIN, LOKE
author_sort KE XIN, LOKE
title CFD SIMULATION OF NATURAL CONVECTION HEAT TRANSFER IN NANOFLUIDS
title_short CFD SIMULATION OF NATURAL CONVECTION HEAT TRANSFER IN NANOFLUIDS
title_full CFD SIMULATION OF NATURAL CONVECTION HEAT TRANSFER IN NANOFLUIDS
title_fullStr CFD SIMULATION OF NATURAL CONVECTION HEAT TRANSFER IN NANOFLUIDS
title_full_unstemmed CFD SIMULATION OF NATURAL CONVECTION HEAT TRANSFER IN NANOFLUIDS
title_sort cfd simulation of natural convection heat transfer in nanofluids
publisher IRC
publishDate 2017
url http://utpedia.utp.edu.my/18045/1/LOKE%20KE%20XIN_18070_HARDBOUND%20DISSERTATION.pdf
http://utpedia.utp.edu.my/18045/
_version_ 1739832454103957504
score 13.211869

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