Squeezed Hybrid Nanofluid Flow Over A Permeable Sensor Surface

Ishak, Anuar and Waini, Iskandar and Pop, Ioan Mihai (2020) Squeezed Hybrid Nanofluid Flow Over A Permeable Sensor Surface. Mathematics, 8 (6). pp. 1-20. ISSN 2227-7390

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Abstract

This paper examines the squeezed hybrid nanofluid flow over a permeable sensor surface with magnetohydrodynamics (MHD) and radiation effects. The alumina (Al2O3) and copper (Cu) are considered as the hybrid nanoparticles, while water is the base fluid. The governing equations are reduced to the similarity equations, using the similarity transformation. The resulting equations are programmed in Matlab software through the bvp4c solver to obtain the numerical solutions. It was found that the heat transfer rate was greater for the hybrid nanofluid, compared to the regular nanofluid. It was observed that dual solutions exist for some values of the permeable parameter S. The upper branch solutions of the skin friction coefficient (Re1/2 x Cf) and the heat transfer rate at the surface (Re−1/2x Nux) enhance with the added Cu nanoparticle (ϕ2) and for larger magnetic strength (M). Moreover, the values of Re1/2x Cf decrease, whereas the values of Re−1/2x Nux increase for both branches, with the rise of the squeeze flow index (b). Besides, an increment of the heat transfer rate at the sensor surface for both branches was observed in the presence of radiation (R). Temporal stability analysis was employed to determine the stability of the dual solutions, and it was discovered that only one of them was stable and physically reliable as time evolves

Item Type:	Article
Uncontrolled Keywords:	Dual Solutions, Hybrid Nanofluid, MHD, Sensor Surface, Squeezed Flow, Stability Analysis
Divisions:	Faculty of Mechanical and Manufacturing Engineering Technology > Department of Manufacturing Engineering Technology
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	27 Apr 2021 15:53
Last Modified:	27 Apr 2021 15:53
URI:	http://eprints.utem.edu.my/id/eprint/25052
Statistic Details:	View Download Statistic

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