Optimization of Copper Recovery from Cyanide Leaching Solutions Used in Gold–Copper Ore Processing Using Probabilistic–Deterministic Experimental Design
Kassymova D. Sapinov R. Kushakova L. Kulenova N. Shoshay Z. Adylkanova M.
January 2025Multidisciplinary Digital Publishing Institute (MDPI)
Processes
2025#13Issue 1
This article presents a study on the precipitation of copper from the cyanide leaching solutions used for gold–copper ores, both with and without the addition of a sulphidizer (Na2S). Mathematical models were developed to summarize the effects of the pH, initial copper concentration, and Na2S stoichiometric ratio on the precipitation process, using an experimental design based on a probabilistic–deterministic method. Varying the stoichiometric ratio of Na2S has a minimal impact on the precipitation process. However, the presence of a sulphidizer is significant, as the precipitation process occurs at pH levels of 5 and below. The initial concentration of copper in the solution was identified as the most significant factor. At copper concentrations of 0.34% and 1.55% (pH = 3), the precipitation rates were 51.48% and 47.6%, respectively. This study also determined that the most effective method across the entire range of copper concentrations in the solution was the precipitation of copper in the form of copper cyanide hydrate (CuCN∙nH2O) without the addition of Na2S. At copper concentrations of 0.34% and 1.55% (pH = 3), the precipitation rates were 86.47% and 85%, respectively. The pH level was the most significant factor influencing this process, as copper deposition without Na2S did not occur at a pH of 5. The obtained models allow us to accurately predict the influence of factors on the deposition process. Aided by the mathematical model of precipitation (without Na2S), we selected the conditions for an enlarged experiment using 20 L of solution (Cu = 0.34%, pH = 3.2), which showed the high efficiency of the method. The calculated recovery amounted to 86%, where practical recovery was 87.2%, and divergence was ≥1.2%.
copper precipitation , cyanide leaching solution , experimental design , gold–copper ores , probabilistic–deterministic method
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International School of Engineering, NJSC D. Serikbayev East Kazakhstan Technical University, D. Serikbayev Str. 19, Ust-Kamenogorsk, 070004, Kazakhstan
VNIItsvetmet, Promyshlennaya Str. 1, Ust-Kamenogorsk, 070002, Kazakhstan
Faculty of Engineering, NJSC Toraighyrov University, Lomov Str. 64, Pavlodar, 140008, Kazakhstan
International School of Engineering
VNIItsvetmet
Faculty of Engineering
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