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Al2O3 and γAl2O3 Nanomaterials Based Nanofluid Models with Surface Diffusion: Applications for Thermal Performance in Multiple Engineering Systems and Industries

by Adnan1, Umar Khan2, Naveed Ahmed3, Syed Tauseef Mohyud-Din4, Ilyas Khan5,*, Dumitru Baleanu6,7,8, Kottakkaran Sooppy Nisar9

1 Department of Mathematics, Mohi-ud-Din Islamic University, Nerian Sharif, 12080, Pakistan
2 Department of Mathematics and Statistics, Hazara University, Mansehra, 21120, Pakistan
3 Department of Mathematics, Faculty of Sciences, HITEC University, Taxila Cantt, 47070, Pakistan
4 University of Multan, Multan, 66000, Pakistan
5 Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, 72915, Vietnam
6 Department of Mathematics, Cankaya University, Ankara, Turkey
7 Institute of Space Sciences, Magurele, 077125, Romania
8 Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
9 Department of Mathematics, College of Arts and Sciences, Prince Sattam bin Abdulaziz University, Wadi Aldawaser, 11991, Saudi Arabia

* Corresponding Author: Ilyas Khan. Email: email

Computers, Materials & Continua 2021, 66(2), 1563-1576. https://doi.org/10.32604/cmc.2020.012326

Abstract

Thermal transport investigation in colloidal suspensions is taking a significant research direction. The applications of these fluids are found in various industries, engineering, aerodynamics, mechanical engineering and medical sciences etc. A huge amount of thermal transport is essential in the operation of various industrial production processes. It is a fact that conventional liquids have lower thermal transport characteristics as compared to colloidal suspensions. The colloidal suspensions have high thermal performance due to the thermophysical attributes of the nanoparticles and the host liquid. Therefore, researchers focused on the analysis of the heat transport in nanofluids under diverse circumstances. As such, the colloidal analysis of H2O composed by γAl2O3 and Al2O3 is conducted over an elastic cylinder. The governing flow models of γAl2O3/H2O and Al2O3/H2O is reduced in the dimensionless form by adopting the described similarity transforms. The colloidal models are handled by implementing the suitable numerical technique and provided the results for the velocity, temperature and local thermal performance rate against the multiple flow parameters. From the presented results, it is shown that the velocity of Al2O3–H2O increases promptly against a high Reynolds number and it decreases for high-volume fraction. The significant contribution of the volumetric fraction is examined for thermal enhancement of nanofluids. The temperature of Al2O3–H2O and γAl2O3–H2O significantly increases against a higher ϕ. Most importantly, the analysis shows that γAl2O3–H2O has a high local thermal performance rate compared to Al2O3–H2O. Therefore, it is concluded that γAl2O3–H2O is a better heat transfer fluid and is suitable for industrial and technological uses.

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APA Style
Adnan, , Khan, U., Ahmed, N., Mohyud-Din, S.T., Khan, I. et al. (2021). Al2o3 and γal2o3 nanomaterials based nanofluid models with surface diffusion: applications for thermal performance in multiple engineering systems and industries. Computers, Materials & Continua, 66(2), 1563-1576. https://doi.org/10.32604/cmc.2020.012326
Vancouver Style
Adnan , Khan U, Ahmed N, Mohyud-Din ST, Khan I, Baleanu D, et al. Al2o3 and γal2o3 nanomaterials based nanofluid models with surface diffusion: applications for thermal performance in multiple engineering systems and industries. Comput Mater Contin. 2021;66(2):1563-1576 https://doi.org/10.32604/cmc.2020.012326
IEEE Style
Adnan et al., “Al2O3 and γAl2O3 Nanomaterials Based Nanofluid Models with Surface Diffusion: Applications for Thermal Performance in Multiple Engineering Systems and Industries,” Comput. Mater. Contin., vol. 66, no. 2, pp. 1563-1576, 2021. https://doi.org/10.32604/cmc.2020.012326

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cc Copyright © 2021 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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