Numerical investigation on the nanofluid flow and heat transfer in a wavy channel

In this article, laminar convective heat transfer of copper-water nanofluid in isothermally heated wavy -wall channel is numerically investigated. The governing continuity, momentum and energy equations in body-fitted coordinates are discretized using finite volume approach and solved iteratively us...

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Main Authors: Ahmed M.A., Yusoff M.Z., Shuaib N.H.
Other Authors: 55463599800
Format: Article
Published: Springer Verlag 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-225872023-05-29T14:02:19Z Numerical investigation on the nanofluid flow and heat transfer in a wavy channel Ahmed M.A. Yusoff M.Z. Shuaib N.H. 55463599800 7003976733 13907934500 In this article, laminar convective heat transfer of copper-water nanofluid in isothermally heated wavy -wall channel is numerically investigated. The governing continuity, momentum and energy equations in body-fitted coordinates are discretized using finite volume approach and solved iteratively using SIMPLE algorithm. The study covers Reynolds number and nanoparticle volume concentration in the ranges of 100�800 and 0�5 % respectively. The effects of nanoparticles volume concentration and Reynolds number on velocity and temperature profiles, the local Nusselt number, the local skin-friction coefficient, average Nusselt number, pumping power and heat transfer enhancement are presented and analyzed. Results show that there is a significant enhancement in heat transfer by addition of nanoparticles. This enhancement increase with concentration of particles but the required pumping power also increases. The present results display a good agreement with the literature. � Springer International Publishing Switzerland 2015. Final 2023-05-29T06:02:19Z 2023-05-29T06:02:19Z 2015 Article 10.1007/978-3-319-02836-1_10 2-s2.0-84914666525 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914666525&doi=10.1007%2f978-3-319-02836-1_10&partnerID=40&md5=fa857c77c3ac6500a3c70e393435b05f https://irepository.uniten.edu.my/handle/123456789/22587 44 145 167 Springer Verlag Scopus
institution Universiti Tenaga Nasional
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description In this article, laminar convective heat transfer of copper-water nanofluid in isothermally heated wavy -wall channel is numerically investigated. The governing continuity, momentum and energy equations in body-fitted coordinates are discretized using finite volume approach and solved iteratively using SIMPLE algorithm. The study covers Reynolds number and nanoparticle volume concentration in the ranges of 100�800 and 0�5 % respectively. The effects of nanoparticles volume concentration and Reynolds number on velocity and temperature profiles, the local Nusselt number, the local skin-friction coefficient, average Nusselt number, pumping power and heat transfer enhancement are presented and analyzed. Results show that there is a significant enhancement in heat transfer by addition of nanoparticles. This enhancement increase with concentration of particles but the required pumping power also increases. The present results display a good agreement with the literature. � Springer International Publishing Switzerland 2015.
author2 55463599800
author_facet 55463599800
Ahmed M.A.
Yusoff M.Z.
Shuaib N.H.
format Article
author Ahmed M.A.
Yusoff M.Z.
Shuaib N.H.
spellingShingle Ahmed M.A.
Yusoff M.Z.
Shuaib N.H.
Numerical investigation on the nanofluid flow and heat transfer in a wavy channel
author_sort Ahmed M.A.
title Numerical investigation on the nanofluid flow and heat transfer in a wavy channel
title_short Numerical investigation on the nanofluid flow and heat transfer in a wavy channel
title_full Numerical investigation on the nanofluid flow and heat transfer in a wavy channel
title_fullStr Numerical investigation on the nanofluid flow and heat transfer in a wavy channel
title_full_unstemmed Numerical investigation on the nanofluid flow and heat transfer in a wavy channel
title_sort numerical investigation on the nanofluid flow and heat transfer in a wavy channel
publisher Springer Verlag
publishDate 2023
_version_ 1806425800016134144