Numerical study on the hybrid nanofluid (Co3O4-Go/H2O) flow over a circular elastic surface with non-Darcy medium: Application in solar energy

被引:82
作者
Bhatti, M. M. [1 ]
Ellahi, R. [2 ,3 ]
Doranehgard, Mohammad Hossein [4 ]
机构
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Shandong, Peoples R China
[2] King Fahd Univ Petr & Minerals, Ctr Modeling & Comp Simulat, Res Inst, Dhahran 31261, Saudi Arabia
[3] IIUI, Dept Math & Stat, FBAS, Islamabad, Pakistan
[4] Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Clear Water Bay, Hong Kong, Peoples R China
关键词
Co3O4-Go nanoparticles; Hybrid nanofluid; Non-Darcy medium; Magnetic field; Circular surface; Solar energy; HEAT-TRANSFER; NATURAL-CONVECTION; MAGNETIC-FIELD; PERFORMANCE; COLLECTOR;
D O I
10.1016/j.molliq.2022.119655
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
In recent years, the conversion of solar radiation to thermal energy has received a significant attention as the demand for renewable heat and power increases. Nanofluids can play an important role in improving the performance of solar-thermal systems due to their capabilities for heat transfer enhancement. This paper investigates numerically the flow of a hybrid nanofluid through a porous medium. A water-based hybrid nanofluid is propagating across a circular elastic surface. Water flow is incompressible, irrotational and electrically conducting. The deployment of an external magnetic field ignores the induced magnetic field due to the small magnetic Reynolds number. Cobalt oxide (CO3O4) and Graphene (Go) nanoparticles (NPs) are suspended in the base fluid. For the porous media, the Darcy model is employed, while the viscous dissipation effects are also incorporated in the energy equation. Similarity variables are used to develop the mathematical modeling of momentum and energy equations. The numerical solution of the finalized forms of nonlinear differential equations is accomplished by the use of the Successive Linearization Method (SLM). The simulation results are then validated against the previously published data. (C) 2022 Elsevier B.V. All rights reserved.
引用
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页数:12
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