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Finite Element Analysis of Variable Viscosity Impact on MHD Flow and Heat Transfer of Nanofluid Using the Cattaneo–Christov Model

机译:Cattaneo-Christov模型使用Cattaneo-Chrisov模型对纳米流体MHD流量和热传递的有限元分析

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In this mathematical study, magnetohydrodynamic, time-independent nanofluid flow over a stretching sheet by using the Cattaneo–Christov heat flux model is inspected. The impact of the thermal, solutal boundary and gravitational body forces with the effect of double stratification on the mass flow and heat transfer phenomena is also observed. The temperature-dependent viscosity impact on heat transfer through a moving sheet with capricious heat generation in nanofluids have studied, and the viscosity of the fluid is presumed to deviate as the inverse function of temperature. With the appropriate transformations, the system of partial differential equations is transformed into a system of nonlinear ordinary differential equations. By applying the variational finite element method, the transformed system of equations is solved. The properties of the several parameters for buoyancy, velocity, temperature, stratification, and Brownian motion parameters have examined. The enhancement in the concentration and thermal boundary layer thickness of the nanofluid sheet due to the increment in the viscosity parameter, also increased the temperature and concentration of nanoparticles. Moreover, the fluid temperature declined with the increasing values of thermal relaxation parameter. This displays that the Cattaneo–Christov heat flux model provides a better assessment of temperature distribution. Moreover, confirmation of the code and precision of the numerical method has inveterate with the valuation of the presented results with previous studies.
机译:在该数学研究中,通过使用Cattaneo-Christov热通量模型,检查了磁性流动动力学,近距离拉伸纸张上的纳米流体流动。还观察到热,源极界面和重力体力对质量流量和传热现象的双分层效果的影响。研究了通过纳米流体中具有反复发热的移动片的温度依赖性粘度影响,并推测流体的粘度偏离温度的逆函数。利用适当的变换,部分微分方程系统被转换为非线性常微分方程的系统。通过施加变分有限元方法,解决了变换的方程系统。研究了浮力,速度,温度,分层和布朗运动参数的几个参数的性质。由于粘度参数中的增量,纳米流体片的浓度和热边界层厚度的增强也增加了纳米颗粒的温度和浓度。此外,流体温度随着热弛豫参数的增加而下降。这显示Cattaneo-Christov热量模型提供更好地评估温度分布。此外,确认数值方法的守则和精度均可与先前的研究估值估值。

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