Digital Material Representation as an efficient tool for strain inhomogeneities analysis at the micro scale level

• Autorzy: Madej L. , Rauch L. , Perzyński K. , Cybulka P.

Warianty tytułu

PL

Analiza niejednorodności odkształcenia w skali mikro z wykorzystaniem Cyfrowej Reprezentacji Materiału

• Języki publikacji: EN

Abstrakty

EN

The summary of recent research towards development of a tool for detailed microstructure modelling is presented within the paper. The main focus is put on micro scale behaviour, where advantages of digital material representation can be taken into account. Digital Material Representation allows modelling of microstructures along with features such as crystallographic orientation, grain boundaries or phase boundaries represented in an explicit manner. Incorporation of these digital microstructures into the numerical simulation methods provides the possibility to improve the quality of numerical results. The developed method can be used to design specifically dedicated microstructures, which meet very strict requirements. The clear motivation and importance of the work is presented in the first part of the paper followed by a short description of the developed approaches for creation of the digital microstructures. Two approaches are considered that provide an exact and statistical representation of the real microstructure. The main focus is put on the application of image processing and cellular automata techniques. Afterwards, obtained digital microstructures are used as input data for the finite element analysis of the micro scale compression test. Examples of applications during multiscale simulation are also presented in the paper.

PL

W pracy przedstawiono koncepcję tworzenia Cyfrowej Reprezentacji Materiału oraz jej zastosowanie do analizy niejednorodności odkształcenia na poziomie mikro skali. Omówiono dwie grupy metod odwzorowujących mikrostrukturę z jej cechami charakterystycznymi np. ziarna, granice ziaren. Pierwsza z nich obejmuje metody analizy obrazu rzeczywistych zgładów metalograficznych. Druga natomiast dotyczy metod tworzenia statystycznie reprezentacyjnych mikrostruktur. Otrzymane reprezentacje stanowią dane wejściowe do dalszej analizy niejednorodności odkształcenia na poziomie mikrostruktury. Przykłady zastosowań w symulacjach wieloskalowych również zostały omówione w ramach niniejszej pracy.

Słowa kluczowe

EN

migital material representation; cellular automata; image processing

PL

przetwarzanie obrazu; cyfrowa reprezentacja materiału; odkształcenia

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2011
• Tom: Vol. 11, no 3
• Strony: 661--679
• Opis fizyczny: Bibliogr. 26 poz., rys., wykr.

Twórcy

autor

Madej L.

autor

Rauch L.

autor

Perzyński K.

autor

Cybulka P.

• Akademia Górniczo Hutnicza, Al. Mickiewicza 30, 30-059 Kraków, Faculty of Metals Engineering and Industrial Computer Science, Department of Applied Computer Science and Modelling

Bibliografia

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