A SAFT equation of state (EOS) combined with eight mixing rules was used to evaluate the capability of the SAFT approach for modeling the solubility of solids in supercritical fluids (SCFs). The results show that the SAFT approach gives good correlative accuracy in general, and the results are satisfactory when the three-parameter mixing rules are used, where the average absolute deviation of solid solubility in the SCF phase is normally smaller than 10%. The present work shows that the SAFT approach can be used to model solid-SCF equilibria, which gives slightly better correlative accuracy than the cubic EOSs.
A new model was proposed for the prediction of the pressure dependence of the thermal conductivity of polymer melts. The model requires only a known or predicted atmospheric pressure thermal conductivity datum and the Tait equation parameters in the calculation of the thermal conductivity for polymer melts at high pressures. For eight polymer melt systems tested, the predicted average absolute deviation of the model is normally smaller than 10% for a wide pressure range. Because the model can be used for polymer systems where no thermal conductivity data exist, it is a predictive model with satisfactory accuracy, which is very convenient for practical use.
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