A study on accuracy range of multiphase mixture model for turbulent convective heat transfer enhancement simulation of Water-Al2O3 Nanofluid

Because of complications and cost of experimental studies, simulating heat transfer of nanofluids using the methods of computational fluid dynamics (CFD) has become a reliable approach to work with them. As Mixture model remains as one of the most heavily used CFD models to examine the heat transfer...

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Main Authors: Al Mahmud, Suaib, Ismail, Ahmad Faris, Bappy, Jamirul Habib, Noor, Wazed Ibne
Format: Article
Language:English
Published: American Scientific Publishers 2023
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Online Access:http://irep.iium.edu.my/101919/1/101919_A%20study%20on%20accuracy%20range%20of%20multiphase%20mixture%20model.pdf
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spelling my.iium.irep.1019192022-12-19T03:09:30Z http://irep.iium.edu.my/101919/ A study on accuracy range of multiphase mixture model for turbulent convective heat transfer enhancement simulation of Water-Al2O3 Nanofluid Al Mahmud, Suaib Ismail, Ahmad Faris Bappy, Jamirul Habib Noor, Wazed Ibne TJ Mechanical engineering and machinery TP Chemical technology Because of complications and cost of experimental studies, simulating heat transfer of nanofluids using the methods of computational fluid dynamics (CFD) has become a reliable approach to work with them. As Mixture model remains as one of the most heavily used CFD models to examine the heat transfer enhancement of nanofluids according to literature, finding out the range of nanofluid configurations for which the Mixture model is able to provide satisfactory results is a necessity. In this study, turbulent flow of water-Al2O3 inside a circular pipe under uniform wall temperature has been simulated in order to find out the conditions for Mixture model to yield reliable results in terms of predicting heat transfer enhancement of nanofluids. Along with depicting significant increase in heat transfer with particle concentration hike, the results suggested that Mixture model predicts heat transfer enhancement the most accurately for nanoparticle concentration of around 3% with an average discrepancy of less than 1% from experimental data, though the results for particle concentration range of 2.5% to 3.5% are quite satisfactory yielding average error lower than 8% American Scientific Publishers 2023-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/101919/1/101919_A%20study%20on%20accuracy%20range%20of%20multiphase%20mixture%20model.pdf Al Mahmud, Suaib and Ismail, Ahmad Faris and Bappy, Jamirul Habib and Noor, Wazed Ibne (2023) A study on accuracy range of multiphase mixture model for turbulent convective heat transfer enhancement simulation of Water-Al2O3 Nanofluid. Journal of Nanofluids, 12 (2). pp. 438-447. ISSN 2169-432X E-ISSN 2169-4338 https://www.ingentaconnect.com/content/asp/jon/2023/00000012/00000002/art00013;jsessionid=yhmxjtnjngsh.x-ic-live-01 10.1166/jon.2023.1972
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TJ Mechanical engineering and machinery
TP Chemical technology
spellingShingle TJ Mechanical engineering and machinery
TP Chemical technology
Al Mahmud, Suaib
Ismail, Ahmad Faris
Bappy, Jamirul Habib
Noor, Wazed Ibne
A study on accuracy range of multiphase mixture model for turbulent convective heat transfer enhancement simulation of Water-Al2O3 Nanofluid
description Because of complications and cost of experimental studies, simulating heat transfer of nanofluids using the methods of computational fluid dynamics (CFD) has become a reliable approach to work with them. As Mixture model remains as one of the most heavily used CFD models to examine the heat transfer enhancement of nanofluids according to literature, finding out the range of nanofluid configurations for which the Mixture model is able to provide satisfactory results is a necessity. In this study, turbulent flow of water-Al2O3 inside a circular pipe under uniform wall temperature has been simulated in order to find out the conditions for Mixture model to yield reliable results in terms of predicting heat transfer enhancement of nanofluids. Along with depicting significant increase in heat transfer with particle concentration hike, the results suggested that Mixture model predicts heat transfer enhancement the most accurately for nanoparticle concentration of around 3% with an average discrepancy of less than 1% from experimental data, though the results for particle concentration range of 2.5% to 3.5% are quite satisfactory yielding average error lower than 8%
format Article
author Al Mahmud, Suaib
Ismail, Ahmad Faris
Bappy, Jamirul Habib
Noor, Wazed Ibne
author_facet Al Mahmud, Suaib
Ismail, Ahmad Faris
Bappy, Jamirul Habib
Noor, Wazed Ibne
author_sort Al Mahmud, Suaib
title A study on accuracy range of multiphase mixture model for turbulent convective heat transfer enhancement simulation of Water-Al2O3 Nanofluid
title_short A study on accuracy range of multiphase mixture model for turbulent convective heat transfer enhancement simulation of Water-Al2O3 Nanofluid
title_full A study on accuracy range of multiphase mixture model for turbulent convective heat transfer enhancement simulation of Water-Al2O3 Nanofluid
title_fullStr A study on accuracy range of multiphase mixture model for turbulent convective heat transfer enhancement simulation of Water-Al2O3 Nanofluid
title_full_unstemmed A study on accuracy range of multiphase mixture model for turbulent convective heat transfer enhancement simulation of Water-Al2O3 Nanofluid
title_sort study on accuracy range of multiphase mixture model for turbulent convective heat transfer enhancement simulation of water-al2o3 nanofluid
publisher American Scientific Publishers
publishDate 2023
url http://irep.iium.edu.my/101919/1/101919_A%20study%20on%20accuracy%20range%20of%20multiphase%20mixture%20model.pdf
http://irep.iium.edu.my/101919/
https://www.ingentaconnect.com/content/asp/jon/2023/00000012/00000002/art00013;jsessionid=yhmxjtnjngsh.x-ic-live-01
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score 13.18916