In this work, an artificial neural network (ANN) has
been utilized
to predict the surface tension of binary mixtures at different temperatures
and concentrations and at atmospheric pressure. It has been shown
that a multilayer perceptron network (MLP) can be trained better than
other types of ANNs, and it can therefore be used as a predictive
tool to predict the thermo-physical properties. In the modeling procedure,
60% of the available experimental data has been selected as the training
set; the remaining data has been used to test and validate the network.
After training and testing, the artificial neural network has been
used for the prediction of the surface tension of a number of other
systems, for which a minimum imprecision of 1.8% has been obtained.
The results obtained from the trained network have also been compared
to those obtained from the Sprow and Prausnitz model [Sprow, F.B.,
Prausnitz, J.M., Surface tensions of simple liquid mixtures. Trans. Faraday Soc. 1966, 62a 1097–1104]. It has been shown that the trained MLP network
can predict the experimental data better than the r conventional neural
network method while only a minimum number of adjustable parameters
have been used, compared to the number of adjustable parameters in
the thermodynamics models, such as the Sprow and Prausnitz model.
To estimate the dissociation conditions of semiclathrate hydrates in gas + tetran-butyl ammonium halide aqueous solution systems, we introduce an extended thermodynamic framework, which was originally proposed by Javanmardi and colleagues for modeling of gas hydrate dissociation conditions in aqueous solutions of electrolytes (12 [1998] 219-222, Energy and Fuels). For evaluating the hydrate dissociation conditions, we apply the van der Waals-Platteuw theory.In addition, we incorporate the Peng-Robinson equation of state and the activity coefficient model of Pitzer and Mayorga to respectively calculate gas/vapor fugacity and tetra-n-butyl ammonium halide activity coefficient. Using this model, we have estimated the semiclathrate hydrate dissociation conditions in the systems of CH 4 , N 2 , or CO 2 + tetra-n-butylammonium bromide + water; CO 2 + tetra-n-butylammonium fluoride + water; and CH 4 or CO 2 + tetra-nbutylammonium chloride + water systems. The model results are found in satisfactory agreement with the selected experimental data collected from literature. Also, the average absolute temperature deviations for the studied systems are about 0.3 K.
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