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Lattice Boltzmann simulation of mixed convection of nanofluid with different heat sources in a double lid-driven cavity

机译:基于双盖驱动腔的不同热源纳米流体混合对流的Lattice Boltzmann模拟

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In this study, mixed convection heat transfer of Al2O3/water nanofluid in a double lid-driven cubic cavity with different heat sources was numerically investigated. The lattice Boltzmann method (LBM) was developed to solve the governing equations. The effects of nanoparticle volume fraction, Reynolds number and Richardson number on heat transfer characteristics were examined. The results show that they have great effects on both velocity profiles and heat transfer performance. Additionally, the effects of different lid directions and heat sources on heat transfer were explored. It is found that the case of cold wall moving down and hot wall moving up double lid-driven cavity has the best heat transfer performance. Numerical results also indicate that different heat sources have significant impacts on both the local Nusselt number distribution on the hot wall and temperature field in the cavity. In order to improve the computation efficiency, the Open Multi-Processing (OpenMP) was employed for the parallelization of the proposed 3D LBM model. The phenomenon of super linear speedup was noted and discussed.
机译:在这项研究中,Al2O3 /水纳米流体在具有不同热源的双盖驱动立方腔中的混合对流传热进行了数值研究。提出了格子玻尔兹曼方法(LBM)来求解控制方程。研究了纳米颗粒体积分数,雷诺数和理查森数对传热特性的影响。结果表明,它们对速度分布和传热性能都有很大影响。此外,探索了不同盖方向和热源对热传递的影响。发现冷壁向下移动而热壁向上移动的双重盖驱动腔的情况具有最佳的传热性能。数值结果还表明,不同的热源对热壁上的局部Nusselt数分布和型腔中的温度场都具有显着影响。为了提高计算效率,采用开放多处理(OpenMP)来对提出的3D LBM模型进行并行化。讨论了超线性加速现象。

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