Rule-based controlling of a multiscale model of precipitation kinetics

• Autorzy: Macioł Piotr
• Języki publikacji: EN

Abstrakty

EN

One of the most important obstacles of widening of multiscale modelling is its high computational demand. It is caused by the fact, that each of numerous fine scale models has comparable computational requirements to a coarse scale one. There are several ways of decreasing of computational time of multiscale models. Adaptation of a structure of a model is one of the most promising. In this paper the Adaptive Multiscale Modelling Methodology is described, including Knowledge-Based adaptation of the multiscale model of precipitation kinetics during heat treatment. Core features of the methodology are introduced. The numerical model of heat treatment of an aluminium alloy based on the methodology and the dedicated framework is presented. Besides modelling of macroscopic heat transfer, models of precipitation kinetics based on thermodynamic calculations are included. To decrease computational requirements arising from coupling of the macroscale model and the thermodynamic models, metamodeling and similarity approaches are applied. Computations with several configuration of rules are described, as well as their results. Reliability and time consumption of computations are discussed. Future perspectives of combining of modelling and metamodeling in one, integrated model are discussed.

Słowa kluczowe

EN

multiscale modelling; precipitation kinetic; knowledge-based systems

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Methods in Materials Science
• Rocznik: 2018
• Tom: Vol. 18, No. 2
• Strony: 64--78
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Macioł Piotr

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

Bibliografia

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• Macioł, P., Bureau, R., Poletti, C., Sommitsch, C., Warczok, P., Kozeschnik, E., 2015, Agile multiscale modelling of the thermo-mechanical processing of an aluminium alloy,ESAFORM Conf on Material Forming, Graz, Key Eng. Mater., 651-653, 1319-1324.
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• Macioł, P., Krumphals, A., Jędrusik, S., Macioł, A., Sommitsch, C., 2013, Rule-based expert system application to optimizing of multiscale model of hot forging and heat treatment of Ti-6Al-4V, Proc. V Int. Conf. on Coupled Problems, eds, Idlesohn, S., Papadrakakis, E., Schrefler, B., Ibiza, 1237-1248.
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• Macioł, P., Michalik, K., 2018, Application of metaprogramming and generic programming in multiscale modelling,Comput. Sci. Eng., 20(6), 81-94.
• Macioł, P., Regulski, K., 2016, Development of semantic description for multiscale models of thermo-mechanical treatment of metal alloys, JOM, J. Miner. Met. Mater. ,Soc., 68(8), 2082-2088.
• Macioł, P., Szeliga, D., Sztangret, Ł., 2017b, Substituting of a thermodynamic simulation with a metamodel in the scope of multiscale modeling, Materials Science Forum, Proc. Of THERMEC 2016, Graz, 1207-1212.
• Macioł, P., Szeliga, D., Sztangret, Ł., 2018, Methodology for metamodelling of microstructure evolution: precipitation kinetic case study, Int. J. Mater. Form., 11, 867-878.
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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019)