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Entropy generation in nanofluid flow due to double diffusive MHD mixed convection

机译:由于双扩散MHD混合对流引起的纳米流体流动熵生成

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摘要

This work is concerned with the numerical study of laminar, steady MHD mixed convection flow, and entropy generation analysis of Al2O3-water nanofluid flowing in a lid-driven trapezoidal enclosure. The aspect ratio of the cavity is taken very small. The cavity is differentially heated to study the fluid flow, heat, and mass transfer rate. The adiabatic upper wall of the enclosure is allowed to move with a constant velocity along the positive x-direction. The second-order finite difference approximation is employed to discretize the governing partial differential equations, and a stream-function velocity formulation is used to solve the coupled non-linear partial differential equations numerically. The simulated results are plotted graphically through streamlines, isotherms, entropy generation, Nusselt number, and Sherwood number. The computations indicate that the average Nusselt number and average Sherwood number are decreasing functions of Hartmann number, aspect ratio, and nanoparticle volume fraction. Significant changes in streamlines, temperature and concentration contours for high Richardson number are observed.
机译:该工作涉及层流,稳定的MHD混合对流流动和在盖子梯形外壳中流动的Al2O3水纳米流体的熵产生分析。腔的纵横比非常小。腔体被差动地加热以研究流体流动,热量和传质速率。允许沿正X方向的恒定速度移动外壳的绝热上壁。采用二阶有限差分近似来离散化控制部分微分方程,并且使用流函数速度制剂在数字上以求解耦合的非线性偏微分方程。通过流线,等温线,熵生成,露珠数和舍伍德数来绘制模拟结果。计算表明,平均露珠数和平均舍伍德数是降低Hartmann数,纵横比和纳米颗粒体积分数的函数。观察到高度理查森数量的简化,温度和浓度轮廓的显着变化。

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