A semi-analytical strategy for mixed convection non-Newtonian nanofluid flow on a stretching surface using Cattaneo-Christov model

Muhammad Mumtaz, Saeed Islam, H. Ullah, Abdullah Dawar, Zahir Shah
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Abstract

This study investigates flow of non-Newtonian fluid containing nano particles and gyrotactic micro-organisms on stretching surface considering magnetic factor and thermal radiations. Cattaneo-Christov model is employed to analyze flow characteristics. The governing Partial Differential Equations (PDEs) along with associated boundary conditions describing the model are converted into Ordinary Differential Equations (ODEs) by suitable transformations. Homotopy Analysis Method (HAM), a semi-analytic solution technique is employed to obtain the solutions. The inspiration of important embedding variables on velocity, temperature, and concentration profiles are presented in tabular and graphical form to elaborate flow properties. It is deduced that the convective parameter and Weissenberg number, both have positive effect on dimensionless velocity whereas buoyancy ratio factor, bio-convective Rayleigh number, and magnetic force have inverse relationship with velocity profile. The presence of radiations and Brownian motion parameter boost energy transfer while it diminishes for higher Prandtl number values and mixed convection factor. Concentration intensifies for larger Prandtl number, activation energy, and thermophoresis parameters whereas it decreases for increasing temperature difference, Brownian motion, Schmidt number, and mixed convection factor. Bio-convective Peclet number, Lewis number, and microorganism concentration gradient factor, all depreciate microorganism concentration panel.
利用卡塔尼奥-克里斯托夫模型研究拉伸表面上混合对流非牛顿纳米流体流动的半分析策略
本研究探讨了含有纳米颗粒和陀螺仪微生物的非牛顿流体在拉伸表面上的流动,其中考虑到了磁性因素和热辐射。采用卡塔尼奥-克里斯托夫模型分析流动特性。通过适当的转换,将描述该模型的偏微分方程(PDEs)和相关边界条件转换为常微分方程(ODEs)。采用半解析求解技术同调分析法(HAM)来求解。重要嵌入变量对速度、温度和浓度剖面的启示以表格和图形的形式呈现,以阐述流动特性。结果表明,对流参数和魏森堡数都对无量纲速度有正向影响,而浮力比系数、生物对流瑞利数和磁力则与速度剖面呈反向关系。辐射和布朗运动参数的存在促进了能量传递,而普朗特数和混合对流系数越大,能量传递越少。普朗特数、活化能和热泳参数越大,浓度越高,而温差、布朗运动、施密特数和混合对流因子越大,浓度越低。生物对流佩克莱特数、路易斯数和微生物浓度梯度因子都会降低微生物浓度面板。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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