On predicting self-diffusion coefficients from viscosity in gases and liquids
On predicting self-diffusion coefficients from viscosity in gases and liquids
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DOI：
10.1016/j.ces.2007.07.004
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发表时间：
2007-12
影响因子：
4.7
通讯作者：
Octavio Suárez-Iglesias;I. Medina;Consuelo Pizarro;J. L. Bueno
中科院分区：
文献类型：
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作者：
Octavio Suárez-Iglesias;I. Medina;Consuelo Pizarro;J. L. Bueno
综述了压缩液体和气体的自扩散与粘度的关系，提出了一个新的在较宽的温度和压力范围内关联粘度的方程。该公式受Yu和Gao的自扩散Lennard-Jones链模型的启发，代表了15种化合物(1046个数据点)的粘度，平均绝对偏差为6.95%。此外，由于所提出的方程和Yu-Gao模型需要相同的拟合参数，因此研究了由粘性参数计算自扩散系数的能力。一些经典的回顾关系，如斯托克斯-爱因斯坦公式，也与现有的这两种输运性质的实验数据进行了对比。
The relations between self-diffusion and viscosity for compressed liquids and gases have been reviewed, and a new equation for correlating viscosities over wide ranges of temperature and pressure is proposed. This formula is inspired by the Lennard–Jones Chain model of Yu and Gao for self-diffusion, and represents the viscosities of 15 compounds (1046 data points) with an average absolute deviation of 6.95%. Moreover, as the presented equation and the Yu–Gao model require the same fitting parameters, the ability to calculate self-diffusion coefficients from the viscosity parameter is studied. Some of the classic reviewed relations, such as the Stokes–Einstein formula, are also contrasted with the available experimental data of both transport properties.