Chemical modeling has become an important subject of research in applied thermodynamics for designing, developing, optimizing and controlling of different industrial processes. In this work, a new database for successful modeling of solid-aqueous phase equilibria in specific hydrometallurgical processes was developed using the Mixed Solvent Electrolyte (MSE(H3O+)) model of the OLI Systems software. The ionic interaction parameters between dominant species in the solution were determined by fitting available binary and ternary experimental data such as mean activity, heat capacity and solubility data; then they were validated in multi-component systems. Developed model predicted the phase behaviour in ammoniacal solutions containing cobalt, nickel, copper, and zinc in the Copper Boil process. New sets of double-salt solubility data were measured and used for accuracy validation of the model. Using HSC 6.1 software linked with MSE model, the copper boil processes was simulated successfully to provide some practical recommendations for the optimum process operation.

Chemical modeling has become an important subject of research in applied thermodynamics for designing, developing, optimizing and controlling of different industrial processes. In this work, a new database for successful modeling of solid-aqueous phase equilibria in specific hydrometallurgical processes was developed using the Mixed Solvent Electrolyte (MSE(H3O+)) model of the OLI Systems software. The ionic interaction parameters between dominant species in the solution were determined by fitting available binary and ternary experimental data such as mean activity, heat capacity and solubility data; then they were validated in multi-component systems. Developed model predicted the phase behaviour in ammoniacal solutions containing cobalt, nickel, copper, and zinc in the Copper Boil process. New sets of double-salt solubility data were measured and used for accuracy validation of the model. Using HSC 6.1 software linked with MSE model, the copper boil processes was simulated successfully to provide some practical recommendations for the optimum process operation.