Journal of Siberian Federal University. Chemistry / Full-Profile X-Ray Phase Analysis of the Composition of Aluminum Electrolyte on the Basis of a Multipopulation Evolutionary Algorithm and Elemental Analysis Data

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Issue
Journal of Siberian Federal University. Chemistry. 2018 11 (2)
Authors
Dubinin, Petr S.; Zaloga, Alexandr N.; Burakov, Sergey V.; Gusev, Konstantin A.; Andryushchenko, Evgeniy S.; Yakimov, Igor S.; Samoilo, Alexandr S.
Contact information
Dubinin, Petr S.: Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041 Russia; ; Zaloga, Alexandr N.: Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041 Russia; Burakov, Sergey V.: Reshetnev Siberian State University of Science and Technology 31 Krasnoyarsky Rabochy, Krasnoyarsk, 660037, Russia; Gusev, Konstantin A.: Reshetnev Siberian State University of Science and Technology 31 Krasnoyarsky Rabochy, Krasnoyarsk, 660037, Russia; Andryushchenko, Evgeniy S.: Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041 Russia; Yakimov, Igor S.: Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041 Russia; Samoilo, Alexandr S.: Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041 Russia
Keywords
genetic algorithms; self-configuration; X-ray powder diffraction; full-profile analysis; Rietveld method; quantitative X-ray phase analysis; aluminum electrolyte
Abstract

We developed a method of self-configurable multipopulational parallel genetic algorithm (SGA) and successfully applied it to a standardless automatic full-profile X-ray phase analysis of aluminum bath samples. The method spares a user-analyst from working on the empirical choice of the genetic algorithm settings and shows the efficiency of the automatic QPA by the Rietveld method under the control of the SGA, as well as the possibility of using it for express monitoring of the bath composition in aluminum production

Pages
262-272
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/71630