Optimization of selective flotation process of copper ore on Taknar mine
In this research, optimization and modeling of selective flotation process of chalcopyrite, sphalerite and pyrite from copper ore – It was performed on Taknar mine with 2.91% zinc and 1.26% copper using D-Optimal statistical design method. In the first phase of selective flotation, chalcopyrite was floated and pyrite and sphalerite were captured. In the second stage, sphalerite was activated, which was not the subject of this article. In the first stage (flocculation of chalcopyrite) process variables include: a) four types of collector mixtures including: MC1, MC2, MC3 and MC4, b) two types of inhibitory systems including: The CuCN-ZnSO system 4 and the dextrin-ZnSO system 4 and c) pH were between 8 and 12. The quadratic, quadratic, and linear models were fitted to the copper, zinc, and pyrite recovery responses in copper concentrate, respectively. The most effective factors for copper recovery and zinc recovery in copper concentrate were the type of collector mixture and pH for pyrite content. The optimization results showed that by maximizing copper recovery and minimizing the other two responses, copper recovery, zinc recovery and pyrite content were equal to 89.04%, 25.3% and 2.02% with MC2 and dextrin, respectively. As a collector mixture and pyrite inhibitor, the consumption of sulfate on 500 g / t and pH of 11.35, respectively. By minimizing the consumption of ZnSO 4 (200 g / t), copper recovery, zinc recovery and pyrite content were equal to 88.94%, 31.24% and 1.45% at pH, respectively. With 93/11. Although MC3 has not been as effective as MC2 in creating a selectivity between chalcopyrite and asphalite, it has outperformed MC2 in copper recovery and improved copper recovery by 2%. In addition, the new TC1000 collector (in MC3 collector mix), which has not been used in any of the previous studies, recovered and created an acceptable select state for chalcopyrite over sphalerite and pyrite.
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