Published date: Jul 17 2018

Journal Title: KnE Engineering

Issue title: VII All-Russian Scientific and Practical Conference of Students, Graduate Students and Young Scientists (TIM'2018)

Pages: 241–250

DOI: 10.18502/keg.v3i5.2676

V G Lisienkolisienko@mail.ru

S I Holod

V P Zhukov

The refining of blister copper is based on the partial removal of impurities that have an increased affinity for oxygen. The most interesting is the process of centralized copper refining at one plant. This is because blister copper from the producer plants has a different chemical composition. Obviously, the batch of each loading also has a variable chemical composition. Therefore, for a constantly changing averageweighted composition of a liquid metal, a different amount of oxygen is required to oxidize and slag the impurities. The aim of the work is the method of creating a mathematical model for solving the single-criterion and multicriteria task of fire
refining of copper. Algorithms of the model based on the passive experiment are presented, with the chosen assumptions and limitations. Mathematical models are developed using correlation regression analysis. The resultant variable in the models is the concentration of oxygen in the melt. The objective function is determined by the main variables of the refining process. The results of mathematical modeling allow us to quickly calculate the concentration of oxygen supplied in the air composition into the melt of a batch of different chemical composition for the oxidation of impurities. The models are consistent with the general theory of anode melting, and can be used to control and predict the process.

Keywords: fire refining, blister copper, impurity oxidation, mathematical model, linear regression

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