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Numerical Simulation of Heat Mass Transfer Effects on MHD Flow of Williamson Nanofluid by a Stretching Surface with Thermal Conductivity and Variable Thickness

机译:拉伸表面具有导热率和可变厚度的拉伸表面对钙质甘露烃纳米流体MHD流动的数值模拟

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The current analysis deals with radiative aspects of magnetohydrodynamic boundary layer flow with heat mass transfer features on electrically conductive Williamson nanofluid by a stretching surface. The impact of variable thickness and thermal conductivity characteristics in view of melting heat flow are examined. The mathematical formulation of Williamson nanofluid flow is based on boundary layer theory pioneered by Prandtl. The boundary layer nanofluid flow idea yields a constitutive flow laws of partial differential equations (PDEs) are made dimensionless and then reduce to ordinary nonlinear differential equations (ODEs) versus transformation technique. A built-in numerical algorithm bvp4c in Mathematica software is employed for nonlinear systems computation. Considerable features of dimensionless parameters are reviewed via graphical description. A comparison with another homotopic approach (HAM) as a limiting case and an excellent agreement perceived.
机译:目前分析涉及磁性动力边界层流动的辐射方面,通过拉伸表面对导电雾纳米流体上的热传质特征进行热传质。 考虑了可变厚度和导热性特性对熔融热流的影响。 威廉姆森纳米流体流动的数学制剂基于PRANDTL开创的边界层理论。 边界层纳米流体流动思想产生部分微分方程(PDE)的组成型流动规律,使得无量纲,然后减少到普通的非线性微分方程(ODES)与变换技术。 Mathematica软件中的内置数值算法BVP4C用于非线性系统计算。 通过图形描述审查无量纲参数的相当大特征。 与另一个同型均线方法(火腿)进行比较,作为限制案例和令人欣然的协议。

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