A Experimental Study Of Improving The Separation Effect Of Copper Zinc Polymetallic Sulfide Ore

Copper zinc sulphide ore is difficult to separate that the main difficulty lies in sphalerite copper zinc separation easily by copper ion or ore of pyrrhotite activation, such as the activated sphalerite has a similar flotability to chalcopyrite, making copper and zinc difficult to achieve separation. Especially when in the ore contains pyrrhotite, on the basis of copper ions activation of sphalerite,it joined the effect of ferrous ion and iron ion, making it harder to achieve the separation of copper and zinc. And pyrrhotite formula for Fe1-xS, x=0.1-0.2, due to the uncertainty of X, it is difficult to suppress by pH control.With the exploration of a copper-zinc sulfide ore extending to the depth, the geological conditions changed a lot, and a great deal of pyrrhotite appears among the ore with a more complex paragenetic relationship with minerals. The plant primarily adopted the original copper and zinc flotation process. The interference of pyrrhotite in copper concentration, and less grinding fineness resulted in worse separation index of copper and zinc, and the unreasonable flow-sheet in zinc separation resulted in lower zinc recovery. In view of these issues, the investigation on beneficiation process is carried out. Before copper concentration, pyrrhotite is removed from the ore by one-stage magnetic separation, and then the ore are re-grounded into-0.074 mm 80% from -0.074 mm 70%. At zinc concentration, the process of one scavenging, one cleaning and one clean scavenging is added to obtain the copper concentrate with Cu grade of 21.68%, Zn content of 0.62% and Cu recovery of 93.14%, and Zinc concentrate with Zn grade of 48.87%, and Zn recovery of 74.92%. Compared with the closed-circuit tests index of the simulated field process, Cu grade and Cu recovery were increased by 0.70% and 1.45% and zinc content in copper concentrate decreased by 2.83% by adopting the optimized process. The zinc recovery in zinc concentrate was improved by 3.67%. Therefore, the optimized process has a good performance.