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Brownian movement and thermophoresis of nanoparticles in liquids

机译:液体中纳米粒子的布朗运动和热泳

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Thermophoresis is the realization of the averaged Brownian motion of particles in a fluid, which is subject to a steady temperature gradient. At sufficiently long times, the stronger molecular impulses in the hotter fluid region drive particles towards the colder region, where the molecular impulses are weaker. The effect of the molecular impulses on the particles is described by a stochastic Brownian force. When this force is applied to an ensemble of particles the thermophoretic velocity is the average velocity of the ensemble. In this study the motion of an ensemble of 4000 spherical nanoparticles with the material properties of CNT, aluminum, aluminum oxide, copper and gold was simulated in four base liquids-water, ethyl glycol, engine oil and R134a. The ensemble-averaged results generate the thermophoretic velocity of these particles in the base liquids. It was observed that the computational results agree very well with the few experimental data available for liquids. The computational method is general and may be applied to all heterogeneous systems of nanoparticles in liquids. The numerical results yield very useful information on the process of thermophoresis in liquids as well as values of the thermophoretic coefficients in nanofluids.
机译:热泳是实现流体中颗粒的平均布朗运动的过程,该运动受到稳定的温度梯度的影响。在足够长的时间内,在较热的流体区域中较强的分子冲动将粒子带向较冷的区域,在较冷的区域中分子冲动较弱。分子冲量对颗粒的影响由随机布朗力描述。当此力施加到粒子集合时,热泳速度是集合的平均速度。在这项研究中,在四种基础液体(水,乙二醇,机油和R134a)中模拟了具有CNT,铝,氧化铝,铜和金的材料特性的4000个球形纳米粒子的整体运动。集合平均结果产生了这些粒子在基础液体中的热泳速度。可以观察到,计算结果与可用于液体的少量实验数据非常吻合。该计算方法是通用的,并且可以应用于液体中纳米颗粒的所有异质系统。数值结果提供了关于液体中的热泳过程以及纳米流体中的热泳系数值的非常有用的信息。

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