Ural Federal University named after the first President of Russia B. N. Yeltsin, Ekaterinburg, Russia:

V. P. Zhukov, Professor of a Chair of Non-Ferrous Metals Metallurgy
V. G. Lisienko, Professor of a Chair of Automation and Management in Technical Systems
A. V. Lapteva, Lecturer of a Chair of Automation and Management in Technical Systems

Technical University of UMMC, Verkhnyaya Pyshma, Russia:

S. I. Kholod, Deputy Head of a Chair of Metallurgy, e-mail: hsi503@yandex.ru

Copper anodes are obtained during the fire refining of blister copper. The quality of these anodes depends basically on the quantity of impurities in the initial charge, and the process parameters. The aim of this work is to develop the methodology for calculating the optimal composition of the charge on the basis of the data about the chemical composition of the components produced by different smelting companies. Using the mathematical apparatus of linear programming, we developed the technological model, allowing the counting of number of loaded charging materials containing raw materials of different chemical composition with minimal amount of impurities. For example, the charge task was solved during varying quality copper refining, which justified the proportion of each type of rough metal, ensuring minimization of the weighted average composition of the impurity metals and elements. We established the adequacy of the described methodology with application of the classical method of solving of linear equation systems using Microsoft Excel to optimize the charge composition in the impurity data, because it has the only one solution.

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