Surface tension calculation from liquid viscosity data of silanes

被引:4
|
作者
Di Nicola, Giovanni [1 ]
Pierantozzi, Mariano [2 ]
Tomassetti, Sebastiano [1 ]
Coccia, Gianluca [1 ]
机构
[1] Univ Politecn Marche, DIISM, Ancona, Italy
[2] Univ Camerino, SAAD, Ascoli Piceno, Italy
关键词
Surface tension; Liquid viscosity; DIPPR; Silanes; ARTIFICIAL NEURAL-NETWORK; SATURATED NORMAL FLUIDS; DENSITY; PURE;
D O I
10.1016/j.fluid.2018.01.005
中图分类号
O414.1 [热力学];
学科分类号
摘要
This work presents a method to calculate the surface tension of the inorganic family of silicon-based molecules starting from the knowledge of the liquid viscosity. As a first step, the raw experimental data of silanes were collected from the data available in the DIPPR database, both for surface tension and liquid viscosity. After the data analysis, a selection of experimental data was considered for the calculations. Furthermore, to create two homogeneous databanks, the original experimental data were regressed at the same reduced temperature range, spanning from 0.3 to 0.8. The original Pelofsky empirical relationship between the natural logarithm of surface tension and the inverse of viscosity was modified to represent the surface tension of silanes starting from the viscosity of liquids. The obtained results produced an AAD = 1.13% calculated on the entire dataset. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:11 / 17
页数:7
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