CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
INVERSE PROBLEM SOLUTION OF THE MATHEMATICAL MODELING FOR GALVANIC PROCESS TO OPTIMIZE THE NON-UNIFORMITY OF THE COATING THICKNESS
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Read | Solovjev Denis S., Solovjeva Inna A., Litovka Yuri V. INVERSE PROBLEM SOLUTION OF THE MATHEMATICAL MODELING FOR GALVANIC PROCESS TO OPTIMIZE THE NON-UNIFORMITY OF THE COATING THICKNESS // Caspian journal : management and high technologies. — 2020. — №1. — pp. 131-143. |
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Solovjev Denis S. - Cand. Sci. (Engineering), Tambov State University named after G.R. Derzhavin, 33 Internatsionalnaya St., Tambov, 392036, Russian Federation, solovjevdenis@mail.ru
Solovjeva Inna A. - post-graduate student, Tambov State Technical University, 106 Sovetskaya St., Tambov, 392000, Russian Federation, good.win32@yandex.ru
Litovka Yuri V. - Doc. Sci. (Engineering), Professor, Tambov State Technical University, 106, Sovetskaya St., Tambov, 392000, Russian Federation, polychem@list.ru
The article considers the use of carbon nanotubes to improve the uniformity of galvanic coatings. The problem of searching the concentration of carbon nanotubes in an electrolyte is formulated to improve the uniformity of the coating thickness. The mathematical model of the galvanic process has been developed that takes into account the concentration of carbon nanotubes in the electrolyte. The inverse problem of searching for the cathodic polarization function when carbon nanotubes are added to the electrolyte is posed to solve this (direct) optimization problem. The use of parallelization technology allows to increase the speed of solving the inverse problem. An algorithm for solving the direct and inverse optimization problems is compiled. Databases have been developed to store the required information. A series of computer and experimental studies on the galvanic deposition of a zinc coating using carbon nanotubes in an electrolyte was carried out. It is proved that the presence of carbon nanotubes in an electrolyte solution can have a positive effect on the uniformity of the resulting coating.
Key words: прямая задача оптимизации, обратная задача оптимизации, математическое моделирование, эксперимент, углеродные нанотрубки, алгоритм, база данных, неравномерность покрытия, direct optimization problem, inverse optimization problem, mathematical modeling, ex