Statistical analysis of the distribution of impurities during copper electrorefining

Electrolytic copper refining makes it possible to obtain high purity metal, so the analysis of main ways impurity transition into electrolysis products is an actual problem. If solved, process can be controlled when changing composition raw materials and, as a result, content impurities in anodes. This paper uses comprehensive and synchronization large array data on concentrations various media (anodes, electrolyte, slime, cathode metal) obtained series commercial cells identify directions flows relationship between their these media. It shown that from one medium (source) another (receiver) implemented according four patterns: linear increase, no visible dependence, presence limit concentration receiver threshold source. The provides results statistical distribution six (bismuth, arsenic, lead, sulfur, nickel silver) belonging different groups pairs source – receiver: anode solution, slime cathode, solution cathode. coefficients regression equations are determined significance estimated for all dependencies receiver. make explain paths observed predict quality slimes changes. calculations showed accumulated cathodes due occlusion particles incomplete removal surface rather than electrochemical reactions. electrorefining technology should improved developed find surface-active additives would prevent adsorption suspended surface, well better wash them electrolyte.