Studying the concentration
and temperature dependence of the conductivity
of electrolyte solution is of great significance for the evaluation
and improvement of the performance of the electrochemical system.
In this paper, based on the influence of the number of free ions and
ion mobility on the conductivity, a semiempirical conductivity model
with five parameters was proposed to correlate the conductivity, concentration
and temperature data of electrolyte solutions at medium and high concentrations.
The conductivities of NaCl and CaCl
2
in propylene carbonate–H
2
O binary solvents were measured at temperatures varying from
283.15 to 333.15 K. The validity of the model was verified by the
experimental data of this paper and the conductivity, concentration,
and temperature data of 28 electrolyte solution systems in the literature.
The electrolyte solutions investigated in this paper included binary
organic solvent systems, pure organic solvent systems, and aqueous
solution systems. The results showed that the proposed model can fit
the experimental data well for both pure solvent and mixed solvents
systems, which is of great value to practical engineering applications.
Vapor−liquid equilibrium (VLE) data are reported for binary and mixed electrolyte solutions containing CaCl 2 , MgCl 2 , K 2 SO 4 , MgSO 4 , and KCl at total molality of salt between (0.0 and 12.0) mol•kg −1 . The measurements were carried out with a pressure between (6.3 and 101.3) kPa in a computer-controlled glass apparatus. An activity coefficient model based on the hypothesis of hydration was deduced in this paper. Experimental data and literature data for 20 salts, with temperature spanning from (273.15 to 415.85) K, were successfully correlated using the developed model. Meanwhile, the model was also successfully applied to predict the VLE data in mixed electrolyte solution systems with the binary parameters.
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