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Numerical Simulation into the Convective Heat Transfer of Al2O3 and Cuo Nanofluids Flowing through a Straight Tube Using the Two Phase Modeling

机译:两相流模型模拟Al 2 O 3 和Cuo纳米流体在直管中流动的对流换热的数值模拟

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The main purpose of this study is focused on numerical investigation of thermal behavior of Copper oxide-water nanofluids and Aluminum oxide-water nanofluids inside a horizontal heated tube. The model has been solved by using the two-phase models with four correlations of thermal conductivity. The discretization of equations of continuity, momentum, and energy has been done using the Finite Volume Method. A uniform and constant heat flux has been applied at the wall boundary conditions. The results show that the heat transfer coefficient predicted by the two phase model is enhanced by increasing the volume fraction of nanoparticles for all Peclet numbers; when the Peclet number is low, increasing the volume fraction of nanoparticles will enhance the convective heat transfer in the entrances region of the pipe and gradually decrease along the axial distance of the channel. Also, it is found that the enhanced heat transfer is greater for use the models of thermal conductivity which depend on the temperature than in the constant models. Comparison between predicted results and experimental data from literature is carried out which indicates the two phase is more precise.
机译:这项研究的主要目的是对水平加热管内的氧化铜-水纳米流体和氧化铝-水纳米流体的热行为进行数值研究。该模型已通过使用具有四个导热系数相关性的两相模型进行求解。连续性,动量和能量方程的离散化已使用有限体积法完成。在壁边界条件下施加了均匀且恒定的热通量。结果表明,通过增加所有Peclet数的纳米颗粒的体积分数,可以提高两相模型预测的传热系数。当Peclet数低时,增加纳米颗粒的体积分数将增强管道入口区域中的对流传热,并沿着通道的轴向距离逐渐减小。而且,发现对于依赖于温度的热导率模型而言,与恒定模型相比,增强的热传递更大。对预测结果和文献中的实验数据进行了比较,表明这两个阶段更为精确。

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