4.7 Article

Thermal conductivity performance in hybrid (SWCNTs-CuO/Ehylene glycol) nanofluid flow: Dual solutions

期刊

AIN SHAMS ENGINEERING JOURNAL
卷 13, 期 5, 页码 -

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ELSEVIER
DOI: 10.1016/j.asej.2022.101703

关键词

Stretching; shrinking sheet; Hybrid nanofluid (SWCNTs-CuO; Ehylene; glycol); Heat source; sink; Thermal radiation; Numerical analysis

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The research focuses on studying the flow characteristics and heat transfer of a permeable hybrid nanofluid on a stretching/shrinking surface. Numerical simulations show that the hybrid nanofluid exhibits more efficient heat conduction compared to simple nanofluids due to its enhanced thermal properties. The results also indicate that Eckert number does not affect boundary layer separation, while higher values of the suction parameter may influence heat transfer performance.
The major interest of this research is to study the flow characteristics and heat transfer of a hybrid nanofluid due to stretching/shrinking surface. The surface is permeable, which allowing fluid suction from the wall mass. The mathematical model is based on a single phase nanofluid model with modified thermophysical properties. The similarity transformation is used to alter the partial differential equations into coupled nonlinear ordinary differential equations, which are then tackled numerically using the bvp4c function in MATLAB software. The characteristics of different controlling parameters on velocity and temperature distributions along with skin friction coefficient and heat transfer rate are illustrated graphically. The results reveal that in comparison to simple nanofluid, the hybrid nanofluid is more efficient in heat conduction due to its strong thermal properties. It is further observed that Eckert number has no effect on boundary layer separation, whereas the higher value of suction parameter may have an effect on heat transfer performance. Finally, the numerical outcomes are compared to already published results in the limiting scenario and found to be in good accord. (c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-ncnd/4.0/).

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