Informative Features Selection for Building an Optimization Model of the Aluminum Electrolytic Cell Thermal Regime

Abstract

Mathematical modeling is the main tool for optimizing the operation of aluminum electrolytic cells. It helps to get answers to important questions to developers of complex systems in the aluminum industry. It contributes to the intensification and improvement of these systems development in the quality with minimal resources and time. One of the main parameters characterizing the process of aluminum electrolysis is the current efficiency, an output indicator that evaluates the efficiency of the aluminum electrolytic cells. The paper proposes to use modeling regression equations for automatic control of the electrolyte temperature according to the statistical parameters of voltage fluctuations. It helps to control the technological process of electrolysis with correction for the melt temperature quickly. The authors propose a mathematical model of the thermal regime of an aluminum electrolytic cell based on an estimation of the relationship between the melt temperature and the main indicators of the electrolysis process (melt temperature and composition, concentration of dissolved alumina, cryolite ratio, anode-cathode-distance (ACD) and voltage fluctuation parameters.