Identification of the static recrystallization cellular automata model parameters based on inverse analysis

• Autorzy: Sitko M. , Madej Ł. , Kuziak R

Warianty tytułu

Identyfikacja parametrów modelu automatów komórkowych do symulacji rekrystalizacji statycznej z wykorzystaniem analizy odwrotnej

• Języki publikacji: EN

Abstrakty

EN

Development of the inverse algorithm for identification of the discrete cellular automata model of the static recrystallization based on the particle swarm optimization method is the main aim of the work. First, the idea of the inverse analysis approach is presented. Then subsequent modules of the algorithm are discussed, namely: direct problem model, experimental setup and optimization algorithm. The optimization part is realized by the basic variant of particle swarm optimization (PSO) method. Finally, examples of identified model parameters are presented and obtained results of recrystallized microstructures are compared with the experimental data.

PL

W artykule omówiono identyfikację parametrów modelu automatów komórkowych (Cellular Automata - CA) do symulacji rekrystalizacji statycznej z wykorzystaniem metody roju cząstek (Particle Swarm Optimization). W pierwszej części pracy przedstawiono główne założenia wykorzystanej do identyfikacji metody analizy odwrotnej. Następnie przedstawiono opracowany model automatów komórkowych, inspirowaną naturą metodę optymalizacji oraz omówiono uzyskane dane eksperymentalne. W ostatniej części przedstawione zostały wyniki przeprowadzonego procesu identyfikacji.

Słowa kluczowe

EN

inverse analysis; cellular automata; particle swarm optimization (PSO); static recrystallization

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Methods in Materials Science
• Rocznik: 2014
• Tom: Vol. 14, No. 4
• Strony: 206--214
• Opis fizyczny: Bibliogr. 20 poz., rys.

Twórcy

autor

Sitko M.

• Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology, 30 Mickiewicza Ave., 30-059 Kraków, Poland

autor

Madej Ł.

• Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology, 30 Mickiewicza Ave., 30-059 Kraków, Poland

autor

Kuziak R

• Institute for Ferrous Metallurgy, 12-14 Karola Miarki St., 44-100 Gliwice, Poland

Bibliografia

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