Natural convection and variable fluid properties of tangent hyperbolic nanofluid flow with Cattaneo-Christov theories and heat generation

被引:1
|
作者
Salahuddin, T. [1 ]
Kalssom, Syeda Maryum [1 ]
Awais, Muhammad [1 ]
Khan, Mair [2 ]
Afzal, M. [3 ]
机构
[1] Mirpur Univ Sci & Technol MUST, Dept Math, Mirpur 10250, AJK, Pakistan
[2] Univ Coll Zhob, Dept Math, BUITEMS, Zhob 85200, Pakistan
[3] Gulf Univ Sci & Technol, Ctr Appl Math & Bioinformat, Dept Math & Nat Sci, Hawally 32093, Kuwait
关键词
Tangent hyperbolic nanofluid; Chemical reaction; Natural convection; Variable viscosity; Cattaneo-Christov model; Heat generation; STRETCHING CYLINDER; MHD FLOW; MODEL;
D O I
10.1016/j.rineng.2024.103031
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The main aim behind this work is that we have to determine the enhancement that happens in thermal conductivity by using the Buongiorno model of nanofluid when the nanofluid particles are added to the tangent hyperbolic base fluid moving above the stretched surface. The viscosity of tangent hyperbolic nanofluid is assumed to be temperature-dependent. The modified form of the Fourier law of heat conduction motivated us; therefore, the Cattaneo-Christov heat and mass flux model is considered to observe its significance for heat and mass transport. The chemical reaction and heat generation are also considered to determine their influence on temperature and concentration gradients. This study is crucial because of its application in industrial manufacturing processes such as the coating of wire, the thinning of copper, the production of paper, photographic films, hot rolling, and the purification of crude oil. In electronic cooling systems, the efficient dissipation of heat in smartphones, computers, and data centers is critical to preventing overheating. Nanofluids, with their enhanced thermal properties, can significantly improve heat transfer rates, ensuring better performance, stability, and energy savings. The partial governing equations arising from fluid flow, mass, and heat transfer are transformed into ordinary differential equations via appropriate similarity variables. The obtained ordinary differential equations are solved numerically by using the Runge-Kutta Fehlberg method in the MATLAB software. The effects of the emerging parameters are represented through graphs. According to the results, the velocity profile upsurges due to the natural convection parameters and curvature parameter, while the power law index declines the velocity profile. As the Brownian motion coefficient rises, the concentration profile diminishes while the temperature profile increases. Both the concentration and temperature profiles increase for larger values of the thermophoresis parameter. The concentration profile declines for larger values of chemical reaction parameters, and enhancement happens in the temperature region.
引用
收藏
页数:11
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