| Title | Analysis of slag chemistry in WEEE smelting using experimental and modelling study of the "CuO 0.5 "-ZnO-FeO-FeO 1.5-CaO-SiO 2-AlO 1.5 system in equilibrium with Cu metal |
|---|---|
| ID_Doc | 19942 |
| Authors | Khartcyzov, G; Kleeberg, C; Shevchenko, M; Shishin, D; Jak, E |
| Title | Analysis of slag chemistry in WEEE smelting using experimental and modelling study of the "CuO 0.5 "-ZnO-FeO-FeO 1.5-CaO-SiO 2-AlO 1.5 system in equilibrium with Cu metal |
| Year | 2024 |
| Published | Ceramics International, 50.0, 15 |
| Abstract | The variability of the composition of recycled copper-containing materials requires enhanced control and understanding of slag chemistry in the secondary pyrometallurgical processing, when compared to primary copper smelting. In the black copper route for recycling waste electronic and electrical equipment (WEEE), slags exhibit high concentrations of alumina and zinc oxide. The simplest system governing phase equilibria at the reducing smelting stage of the black copper process is " CuO 0.5 " -ZnO-FeO-FeO 1.5 -CaO-SiO 2 -AlO 1.5 . In the present study, slags within this system were equilibrated with liquid copper Cu and solid Fe metallic alloys, quenched and characterized by the Electron Probe X-ray Microanalysis (EPMA). The range of compositions was selected based on the information about the process available in literature. The study focused on the liquidus and proportion of solid spinel in the temperature range from 1100 to 1300 degrees C. Precise control of the proportion of solids can enhance the stability of refractory materials against corrosive slags while maintaining entrained metal droplets at reasonably low level. Additionally, experimental correlations between the solubility of copper in the oxide liquid and the partial pressure of oxygen were developed for the Zn -free slags in equilibrium with metallic copper at 1200 and 1300 degrees C. All experimental results were compared to thermodynamic predictions using recent models and FactSage (R) software. Uncertainties were identified to be used in further model improvement. |
| https://doi.org/10.1016/j.ceramint.2024.04.380 |
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