A new corresponding-states model for the calculation of the surface tension of silanes is proposed. It requires, as input properties, the critical point temperature, the minimum temperature at which one data for the surface tension is available, and the corresponding maximum value of this property. It includes two adjustable coefficients, which are calculated by considering the data available at the DIPPR database for 5 silanes. Then the model is applied to predict the surface tension values for other 31 silanes. Averaged absolute deviations below 12% are found for the 36 silanes, being below 5% for 33 of them. Results obtained by using the other five corresponding-states models available in the literature, one of them specifically designed for silanes, are also obtained. That proposed here gives clearly the best overall results.
In this paper, a new corresponding state principle (CSP)-based model is proposed to calculate the surface tension of hydrocarbons based on the National Institute of Standards and Technology (NIST) database. This model requires the critical point temperature, the lowest temperature available for surface tension data and the corresponding maximum surface tension value as inputs. It includes two adjustable coefficients which are fitted by using NIST data of three hydrocarbons. To test the applicability of this model, we applied it to predict the surface tension values of other 16 hydrocarbons. For all the 19 hydrocarbons available in NIST database, the average absolute deviations of 16 hydrocarbons are less than 5%. We also compared this new proposed model with other three existing corresponding state models, and found that this model is the best in predicting the surface tension data of hydrocarbons.
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