Qasim Muhammad, Afridi Muhammad Idrees, Wakif Abderrahim, Thoi T Nguyen, Hussanan Abid
Department of Mathematics, COMSATS University Islamabad (CUI) Park Road, Tarlai Kalan, Islamabad 455000, Pakistan.
Laboratory of Mechanics, Faculty of Sciences Aïn Chock, Hassan II University, B.P. 5366, Mâarif, Casablanca 20000, Morocco.
Entropy (Basel). 2019 Mar 2;21(3):240. doi: 10.3390/e21030240.
In this article, the entropy generation characteristics of a laminar unsteady MHD boundary layer flow are analysed numerically for an incompressible, electrically conducting and dissipative fluid. The Ohmic heating and energy dissipation effects are added to the energy equation. The modelled dimensional transport equations are altered into dimensionless self-similar partial differential equations (PDEs) through suitable transformations. The reduced momentum and energy equations are then worked out numerically by employing a new hybrid method called the Gear-Generalized Differential Quadrature Method (GGDQM). The obtained numerical results are incorporated in the calculation of the Bejan number and dimensionless entropy generation. Quantities of physical interest, like velocity, temperature, shear stress and heat transfer rate, are illustrated graphically as well as in tabular form. Impacts of involved parameters are examined and discussed thoroughly in this investigation. Exact and GGDQM solutions are compared for special cases of initial unsteady flow and final steady state flow. Furthermore, a good harmony is observed between the results of GGDQM and those given previously by the Spectral Relaxation Method (SRM), Spectral Quasilinearization Method (SQLM) and Spectral Perturbation Method (SPM).
本文针对不可压缩、导电且有耗散的流体,对层流非稳态磁流体动力学(MHD)边界层流动的熵产生特性进行了数值分析。将欧姆加热和能量耗散效应添加到能量方程中。通过适当的变换,将建模的有量纲输运方程转化为无量纲自相似偏微分方程(PDEs)。然后采用一种名为Gear-广义微分求积法(GGDQM)的新型混合方法对简化后的动量和能量方程进行数值求解。所得数值结果用于计算贝詹数和无量纲熵产生。对诸如速度、温度、剪应力和热传递率等物理量进行了图形和表格形式的说明。在本研究中对相关参数的影响进行了全面的研究和讨论。针对初始非稳态流动和最终稳态流动的特殊情况,对精确解和GGDQM解进行了比较。此外,观察到GGDQM的结果与先前由谱松弛法(SRM)、谱拟线性化法(SQLM)和谱摄动法(SPM)给出的结果之间具有良好的一致性。