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首页> 外文期刊>International Journal of Modern Physics, C. Physics and Computers >Prediction of convective heat transfer of nanofluids based on fractal-monte carlo simulations
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Prediction of convective heat transfer of nanofluids based on fractal-monte carlo simulations

机译:基于分形-蒙特卡洛模拟的纳米流体对流换热预测

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摘要

With the consideration of the Brownian motion of nanoparticles in fluids, the probability model for the size of nanoparticles and the model for convective heat transfer of nanofluids are derived based on the fractal character of nanoparticles. The proposed model is expressed as a function of the size of nanoparticles, the volumetric nanoparticle concentration, the thermal conductivity of base fluids, fractal dimension of nanoparticles and the temperature, as well as the random number. It is found that the convective heat flux of nanofluids decreases with increasing of the average diameter of nanoparticles. This model has the characters of both analytical and numerical solutions. The Monte Carlo simulations combined with the fractal geometry theory are performed. Every parameter of the proposed formula on convective heat transfer of nanofluids has clear physical meaning. So the proposed model can reveal the physical mechanisms of convective heat transfer of nanofluids.
机译:考虑纳米粒子在流体中的布朗运动,基于纳米粒子的分形特征,推导了纳米粒子尺寸的概率模型和纳米流体对流传热模型。所提出的模型表示为纳米颗粒尺寸,纳米颗粒体积浓度,基液的导热系数,纳米颗粒的分形维数和温度以及随机数的函数。发现纳米流体的对流热通量随着纳米颗粒平均直径的增加而降低。该模型具有解析解和数值解的特点。进行了结合分形几何理论的蒙特卡洛模拟。所提出的关于纳米流体对流传热的公式的每个参数都具有明确的物理意义。因此,所提出的模型可以揭示纳米流体对流传热的物理机理。

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