This work presents a new formula to calculate the liquid viscosity of the inorganic family of silicon-based molecules. As a first step, the raw viscosity experimental data of silanes were collected from the data available in the Design Institute for Physical Properties database. After the data analysis, a selection of experimental data was considered for the calculations. The selected data were statistically analyzed, and a correlation was finally proposed. The correlation was based on the corresponding states theory and adopted three input parameters as fluid constants: the radius of gyration, the liquid molar volume at 25°C, and the critical temperature. Particularly relevant was the introduction of the radius of gyration as a fluid parameter; that is a noticeable difference with respect to other previous literature models. The ability of the model to predict viscosity was tested for the silanes for which only one datum point was present in the database and that were not considered during the regression. The validation gave satisfactory results. The selected data were also analyzed with the most common temperature-dependent correlations.
New equation for the liquid viscosity of silanes
Pierantozzi M.
2017-01-01
Abstract
This work presents a new formula to calculate the liquid viscosity of the inorganic family of silicon-based molecules. As a first step, the raw viscosity experimental data of silanes were collected from the data available in the Design Institute for Physical Properties database. After the data analysis, a selection of experimental data was considered for the calculations. The selected data were statistically analyzed, and a correlation was finally proposed. The correlation was based on the corresponding states theory and adopted three input parameters as fluid constants: the radius of gyration, the liquid molar volume at 25°C, and the critical temperature. Particularly relevant was the introduction of the radius of gyration as a fluid parameter; that is a noticeable difference with respect to other previous literature models. The ability of the model to predict viscosity was tested for the silanes for which only one datum point was present in the database and that were not considered during the regression. The validation gave satisfactory results. The selected data were also analyzed with the most common temperature-dependent correlations.File | Dimensione | Formato | |
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