Библиографическое описание:Determination of Homogeneous Batches of Anodes Based on Hybrid Optimization Models : доклад, тезисы доклада / I. P. Rozhnov, L. A. Kazakovtsev, I. S. Masich. - [S. l. : s. n.], 2022. - Текст : непосредственный // HYBRID METHODS OF MODELING AND OPTIMIZATION IN COMPLEX SYSTEMS : Proceedings of the International Workshop “Hybrid methods of modeling and optimization in complex systems” (HMMOCS 2022) / Krasnoyarsk Regional Science and Technology City Hall, Russia Siberian Federal University, Reshetnev Siberian State University of Science and Technology ; International Workshop “Hybrid methods of modeling and optimization in complex systems” (HMMOCS 2022) (2022 ; 22.11 - 24.11 ; Krasnoyarsk). - London, United Kingdom : European Proceedings, 2022. - P. 94-101. - ISBN 9781802969603, DOI 10.15405/epct.23021.12.
Аннотация:The annual world consumption of aluminum is growing by an average of 5-7%, and the aluminum market itself is inferior in volume only to the steel market. Therefore, research in the aluminum industry has always aroused an increased interest in the development of new methods and means to improve the efficiency and quality of the aluminum production process. The most important condition for the predictability of quality and, consequently, the declared performance characteristics of anodes is the stability of production processes during manufacture. Within a single production batch, all anodes must have similar characteristics. In addition, they must be made from a single batch of raw materials, since defects in parts that lead to a decrease in the potential and actual life of the part can be caused by impurities and other defects in the raw materials, as well as deviations (fluctuations) of the technological process. Deviations in the technological process in the conditions of automated production are highly likely to affect the entire manufactured batch. The problem of ensuring the stability of aluminum production by controlling the internal homogeneity of supplied batches of anodes was solved using an approach based on parametric optimization models.
