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Numerical simulation of thermal flows and entropy generation of magnetized hybrid nanomaterials filled in a hexagonal cavity
Case Studies in Thermal Engineering ( IF 6.8 ) Pub Date : 2022-07-16 , DOI: 10.1016/j.csite.2022.102293
Afraz Hussain Majeed , Rashid Mahmood , Hasan Shahzad , Amjad Ali Pasha , Nazrul Islam , Mustafa Mutiur Rahman

The current study addresses the features of entropy generation and thermal flows regarding magnetized hybrid nanofluid in the presence of a cylinder in a closed hexagonal domain. The hexagonal cavity comprises two heated horizontal walls, and two are insulated while the other walls are cold. The whole system has been modeled as coupled non-linear partial differential equations. Also, normalized the governing coupled equation by utilizing a proper pair of variables and are computed with a finite element approach. For the approximation of velocity profiles, a finite element space involving the quadratic polynomial (P2) is selected whereas the pressure and temperature estimation is accomplished through a space of linear polynomial (P1). An analogy is handed with published findings at confining instance. The degree of freedom and grid convergence test is considered for the kinetic energy (KE) and Bejan number (Be). The study reveals a major role in enhancing the heat transfer rate due to hybrid nano-particles. The results show that the increase of magnetic field effect considers the reduction of the heat transfer because the conduction motion occupies the motion of the fluid flow. When the Hartmann number is increased, the magnetic entropy is raised, too. For intensified the Hartmann numbers, the highest ratio of heat transfer occurs for the case of the hybrid nanoparticles, and then MgO-water, followed by the Ag-water. The nature of thermal flow parameters has been scrutinized.



中文翻译:

填充在六角形腔中的磁化杂化纳米材料的热流和熵产生的数值模拟

目前的研究解决了在封闭六边形域中存在圆柱体的情况下关于磁化混合纳米流体的熵产生和热流动的特征。六角形空腔包括两个加热的水平壁,其中两个是隔热的,而其他壁是冷的。整个系统被建模为耦合非线性偏微分方程。此外,通过利用适当的变量对对控制耦合方程进行归一化,并使用有限元方法进行计算。对于速度分布的近似,涉及二次多项式的有限元空间(2)选择,而压力和温度估计是通过线性多项式空间完成的(1). 一个类比是在有限的实例中与已发表的研究结果相提并论。对动能(ķ) 和贝让数 (e)。该研究揭示了混合纳米颗粒在提高传热率方面的主要作用。结果表明,磁场效应的增加考虑了传热的减少,因为传导运动占据了流体流动的运动。当哈特曼数增加时,磁熵也会增加。对于强化的哈特曼数,混合纳米粒子的传热率最高,然后是 MgO-水,其次是 Ag-水。热流参数的性质已被仔细研究。

更新日期:2022-07-16
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