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Marangoni convective flow of hybrid nanofluid (MnZnFe2O4-NiZnFe2O4-H2O) with Darcy Forchheimer medium
Ain Shams Engineering Journal ( IF 6.0 ) Pub Date : 2021-03-31 , DOI: 10.1016/j.asej.2021.01.028
M. Ijaz Khan , Sumaira Qayyum , Faisal Shah , R. Naveen Kumar , R.J. Punith Gowda , B.C. Prasannakumara , Yu-Ming Chu , S. Kadry

This communication discusses the Marangoni convection of hybrid nanofluid. Hybrid nanofluid is made up of two nanoparticles (MnZiFe2O4-NiZnFe2O4) and one base fluid (H2O). Darcy Forchheimer porous medium effect is inserted in momentum equation. Entropy generation in the flow due to heat transfer irreversibility, mass transfer irreversibility and viscous dissipation irreversibility is calculated and examined against pertinent parameters. Activation energy effect is applied in concentration equation. Bejan number effect is calculated to examine that which irreversibility factor is dominant. Transformations are applied to form the required governing equations from PDE’s. Effect of pertinent parameters on velocity, concentration, skin friction, temperature, entropy generation, Nusselt number and Bejan number are studied graphically. Velocity of the fluid is decreasing due to increase in porosity parameter, Forchheimer number and Marangoni ratio parameter. Temperature rises for Eckert number and nanoparticles volume fraction of both nanoparticles. Concentration rises for activation energy parameter and reduces for chemical reaction parameter. Entropy generation increases for Marangoni ratio parameter, diffusion parameter and Brinkman number.



中文翻译:

混合纳米流体 (MnZnFe2O4-NiZnFe2O4-H2O) 与 Darcy Forchheimer 介质的 Marangoni 对流

本通讯讨论了混合纳米流体的 Marangoni 对流。混合纳米流体由两个纳米粒子组成(nZ一世F电子24——N一世ZnF电子24) 和一种基础液 (H2). Darcy Forchheimer 多孔介质效应被插入到动量方程中。由于传热不可逆性、传质不可逆性和粘性耗散不可逆性导致的流动中的熵产生被计算并对照相关参数进行检查。活化能效应应用于浓度方程。计算 Bejan 数效应以检查不可逆因素占主导地位。应用变换以从 PDE 形成所需的控制方程。以图形方式研究了相关参数对速度、浓度、皮肤摩擦、温度、熵产生、努塞尔特数和贝扬数的影响。由于孔隙率参数、Forchheimer 数和 Marangoni 比率参数的增加,流体的速度正在降低。两种纳米粒子的埃克特数和纳米粒子体积分数的温度升高。活化能参数浓度升高,化学反应参数浓度降低。Marangoni 比率参数、扩散参数和 Brinkman 数的熵生成增加。

更新日期:2021-03-31
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