化学反应对MHD-Casson纳米流体通过多孔拉伸片吸注流动的影响

Damala Chenna Kesavaiah, Vellanki Nagaraju, V. B
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引用次数: 0

摘要

本研究旨在研究化学反应对磁流体力学(MHD)卡森纳米流体在多孔拉伸片上的流动特性的影响。纳米流体(NF)由悬浮纳米颗粒(NPs)组成,卡森流体(CF)模型用于捕捉非牛顿行为。考虑磁场、粘性耗散、化学反应和多孔介质的影响,导出了动量、能量和NP浓度的控制偏微分方程(PDEs)。采用龙格-库塔-费贝格法结合射击过程对所得到的非线性常微分方程组进行了数值求解。详细考察了磁场强度、多孔介质、CF参数、NP体积分数、吸注参数、化学反应参数等物理参数对流动特性的影响。结果显示,更快的运动与更高的格拉什夫数和多孔介质有关,但较弱的磁场会减慢它的速度。吸力/注入对速度的影响成反比。普朗特数和埃克特数对温度场有相反的影响。热泳动和布朗运动参数影响浓度和温度分布的相反趋势。浓度随化学反应参数和路易斯数的增加而降低。传热(HT)增强了更高的布朗和热泳。本研究结果在微流体、化学处理和热管理系统等工程领域具有潜在的应用前景,这些领域对流体流动和传热的精确控制至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the Influence of Chemical Reaction on MHD-Casson Nanofluid Flow via a Porous Stretching Sheet with Suction/Injection
This study aims to investigate the influence of chemical reaction on the flow characteristics of a magnetohydrodynamic (MHD) Casson nanofluid over a porous stretching sheet with suction/injection. The nanofluid (NF) is comprised of a base fluid with suspended nanoparticles (NPs), and the Casson fluid (CF) model is employed to capture the non-Newtonian behavior. The governing partial differential equations (PDEs) for momentum, energy, and NP concentration are derived, incorporating the effects of magnetic field, viscous dissipation, chemical reaction, and porous medium. The resulting system of nonlinear ordinary differential equations (ODEs) is solved numerically using the Runge-Kutta-Fehlberg method together with the shooting process. The effects of various physical parameters, such as magnetic field strength, porous medium, CF parameters, NP volume fraction, suction/injection parameter, and chemical reaction parameter, on the flow characteristics are examined in detail. The results reveal that faster movement is linked to higher Grashof numbers and porous mediums, but weaker magnetic fields slow it down. The suction/injection affect velocity inversely. The Prandtl and Eckert numbers have opposite effects on temperature fields. The thermophoresis and Brownian motion parameters affect the opposite trends of the concentration and temperature distributions. The concentration reduces with chemical reaction parameters and the Lewis number. Heat transfer (HT) is enhanced for higher Brownian and thermophoresis. The findings of this study can have potential applications in various engineering fields, such as microfluidics, chemical processing, and thermal management systems, where precise control of fluid flow and heat transfer is essential.
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