Parameters Identification of Material Models Based on the Inverse Analysis

• Autorzy: Szeliga D. , Gawąd J. , Pietrzyk M.
• Języki publikacji: EN

Abstrakty

EN

The paper presents an application of the inverse analysis to the identification of two models: a phase transformation model and a rheological model. The optimization algorithm for the inverse analysis was tested for various techniques of searching for the minimum: derivative-free and gradient methods, as well as genetic algorithms. Simulation results were validated for microalloyed niobium steel. An optimization strategy, which is adequate for the inverse analysis, is suggested.

Słowa kluczowe

EN

inverse analysis; phase transformation; internal variable model

PL

analiza odwrotna; przemiana fazowa; zmienna wewnętrzna

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2004
• Tom: Vol. 14, no 4
• Strony: 549--556
• Opis fizyczny: Bibliogr. 18 poz., rys., tab., wykr.

Twórcy

autor

Szeliga D.

• Faculty of Metallurgy and Materials Science, AGH University of Science and Technology, al. Mickiewicza 30, 30–059 Cracow, Poland

autor

Gawąd J.

• Faculty of Metallurgy and Materials Science, AGH University of Science and Technology, al. Mickiewicza 30, 30–059 Cracow, Poland

autor

Pietrzyk M.

• Faculty of Metallurgy and Materials Science, AGH University of Science and Technology, al. Mickiewicza 30, 30–059 Cracow, Poland

Bibliografia

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• [9] Kondek T., Szeliga D. and Pietrzyk M. (2003): Program for identification of rheological parameters based on the axisymmetrical compression test. — Proc. 10-th Conf. Kom-PlasTech, Wisła-Jawornik, Poland, pp. 207–214 (in Polish).
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• [13] Szeliga D. and Pietrzyk M. (2001): Problem of the starting point generation for the inverse analysis of compression tests.— Metall. Foundry Eng., Vol. 27, No. 2, pp. 167–182.
• [14] Szeliga D.and Pietrzyk M.(2002): Identification of rheological and tribological parameters, In: Metal Forming Science and Practice (Lenard J.G., Ed.). — Amsterdam: Elsevier, pp. 227–258.
• [15] Szeliga D., Gawąd J., Kondek T. and Pietrzyk M. (2003): Identification of parameters of models based on the inverse analysis.— Proc. Conf. Computer methods and systems in scientific research and engineering desing, Cracow, Poland, pp. 761–766 (in Polish).
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• [18] Talar J., Szeliga D. and Pietrzyk M. (2002): Application of genetic algorithms for identification of rheological and friction parameters of copper.—Arch. Metall., Vol. 47, No. 1, pp. 27–41.