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HEAT TRANSFER INTENSIFICATION IN A 3D CAVITY USING HYBRID CNT-AL2O3 (15-85%) NANOFLUID

Mohammed A. Tashkandia , Abdelkarim Aydib,*

a Department of Mechanical Engineering, College of Engineering, Northern Border University, P.O. Box 1321, Arar, Saudi Arabia
b Department of Chemical and Materials Engineering, College of Engineering, Northern Border University, P.O. Box 1321, Arar, Saudi Arabia

* Corresponding Author: Email: email

Frontiers in Heat and Mass Transfer 2018, 11, 1-6. https://doi.org/10.5098/hmt.11.27

Abstract

In this work, a computational study of convective heat transfer in a hybrid CNT-Al2O3/water nanofluid cavity filled. The main considered parameters are the Rayleigh number and nanoparticles volume fraction. Results are presented in terms of flow structure, temperature field, and average Nusselt number. Since CNT and Al2O3 have different shapes to models are used to evaluate the effective thermal conductivity. It was found that both increasing Rayleigh number and nanoparticles volume fraction increase the heat transfer intensify the flow and affect the temperature field. Adding nanoparticles enhances the heat transfer due to the enhancement of the effective thermal conductivity. The maximum percentage of heat transfer enhancement occurs at the transition regime (Ra = 104 ) and is equal to 28%.

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APA Style
Tashkandi, M.A., Aydi, A. (2018). HEAT TRANSFER INTENSIFICATION IN A 3D CAVITY USING HYBRID cnt-al2o3 (15-85%) NANOFLUID. Frontiers in Heat and Mass Transfer, 11(1), 1-6. https://doi.org/10.5098/hmt.11.27
Vancouver Style
Tashkandi MA, Aydi A. HEAT TRANSFER INTENSIFICATION IN A 3D CAVITY USING HYBRID cnt-al2o3 (15-85%) NANOFLUID. Front Heat Mass Transf. 2018;11(1):1-6 https://doi.org/10.5098/hmt.11.27
IEEE Style
M.A. Tashkandi and A. Aydi, “HEAT TRANSFER INTENSIFICATION IN A 3D CAVITY USING HYBRID CNT-AL2O3 (15-85%) NANOFLUID,” Front. Heat Mass Transf., vol. 11, no. 1, pp. 1-6, 2018. https://doi.org/10.5098/hmt.11.27



cc Copyright © 2018 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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