Green leaching and predictive model for copper recovery from waste smelting slag with choline chloride-based deep eutectic solvent

doi:10.1016/j.cjche.2024.07.005

Abstract

Abstract: This research was performed to investigate the optimization of copper recovery from copper smelting slag (CSS) with a deep eutectic solvent as a green reagent. The effect of important parameters on the leaching efficiency of copper and zinc (as well as dissolution of iron), such as leaching time, leaching temperature, solid/liquid ratio, and particle size was studied. In order to model the copper recovery, an optimization method was used. According to the chemical analysis of CSS, the slag contains 0.9% copper, 3.3% zinc, and 36.7% iron. Also, it was found that the CSS is mainly composed of Fe₂SiO₄, Fe₃O₄ and SiO₂. Copper-containing structures were determined as CuO and CuS. As a result of leaching experiments, 80% copper and 61% zinc recoveries were obtained at 48 h, 95 ℃, 1/25 g·ml^-1, and -33 μm. It is noted that the iron and silicon dissolution remained negligible under the selected conditions. According to the mathematical model, the highest copper leaching efficiency (up to 100%) could be under optimum working conditions as 48.5 ℃ leaching temperature, 40.1 h leaching duration, and 62.3 ml·g^-1 solid/liquid ratio. Also, the proposed model revealed that a wide range of experimental levels can be used as leaching parameter to get desired metal leaching efficiency.

Key words: Deep eutectic solvents, Copper smelting slag, Metal leaching, Hydrometallurgy, Grey wolf optimizer

摘要： This research was performed to investigate the optimization of copper recovery from copper smelting slag (CSS) with a deep eutectic solvent as a green reagent. The effect of important parameters on the leaching efficiency of copper and zinc (as well as dissolution of iron), such as leaching time, leaching temperature, solid/liquid ratio, and particle size was studied. In order to model the copper recovery, an optimization method was used. According to the chemical analysis of CSS, the slag contains 0.9% copper, 3.3% zinc, and 36.7% iron. Also, it was found that the CSS is mainly composed of Fe₂SiO₄, Fe₃O₄ and SiO₂. Copper-containing structures were determined as CuO and CuS. As a result of leaching experiments, 80% copper and 61% zinc recoveries were obtained at 48 h, 95 ℃, 1/25 g·ml^-1, and -33 μm. It is noted that the iron and silicon dissolution remained negligible under the selected conditions. According to the mathematical model, the highest copper leaching efficiency (up to 100%) could be under optimum working conditions as 48.5 ℃ leaching temperature, 40.1 h leaching duration, and 62.3 ml·g^-1 solid/liquid ratio. Also, the proposed model revealed that a wide range of experimental levels can be used as leaching parameter to get desired metal leaching efficiency.

关键词: Deep eutectic solvents, Copper smelting slag, Metal leaching, Hydrometallurgy, Grey wolf optimizer

Mehmet Ali Topçu, Seyit Alperen Çeltek, Aydın Rüşen. Green leaching and predictive model for copper recovery from waste smelting slag with choline chloride-based deep eutectic solvent[J]. Chinese Journal of Chemical Engineering, 2024, 75(11): 14-24.

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