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Wyszukujesz frazę "Kuziak, Roman." wg kryterium: Autor


Wyświetlanie 1-7 z 7
Tytuł:
Thermal-mechanical finite element simulation of flat bar rolling coupled with a stochastic model of microstructure evolution
Autorzy:
Szeliga, Danuta
Czyżewska, Natalia
Kusiak, Jan
Kuziak, Roman
Morkisz, Paweł
Oprocha, Piotr
Pietrzyk, Maciej
Piwowarczyk, Michał
Poloczek, Łukasz
Przybyłowicz, Paweł
Rauch, Łukasz
Wolańska, Natalia
Powiązania:
https://bibliotekanauki.pl/articles/29520070.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
flat bars
hot rolling
thermal-mechanical finite element model
microstructure evolution
stochastic model
Opis:
It is generally recognized that the kinetics of phase transformations during the cooling of steel products depends to a large extent on the state of the austenite after rolling. Austenite deformation (when recrystallization is not complete) and grain size have a strong influence on the nucleation and growth of low-temperature phases. Thus, the general objective of the present work was the formulation of a numerical model which simulates thermal, mechanical and microstructural phenomena during multipass hot rolling of flat bars. The simulation of flat bar rolling accounting for the evolution of a heterogeneous microstructure was the objective of the work. A conventional finite-element program was used to calculate the distribution of strains, stresses, and temperatures in the flat bar during rolling and during interpass times. The FE program was coupled with the stochastic model describing austenite microstructure evolution. In this model, the random character of the recrystallization was accounted for. Simulations supplied information about the distributions of the dislocation density and the grain size at various locations through the thickness of the bars.
Źródło:
Computer Methods in Materials Science; 2022, 22, 3; 137-148
2720-4081
2720-3948
Pojawia się w:
Computer Methods in Materials Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Physical and numerical simulation of the production chain of fasteners manufactured of 32CrB4 steel control-cooled in the stelmor process to develop the multiphase microstructure
Autorzy:
Piwowarczyk, Michał
Wolańska, Natalia
Wilkus, Marek
Pietrzyk, Maciej
Rauch, Łukasz
Kuziak, Roman
Pidvysots’kyy, Valeriy
Radwański, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/29519769.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
wire rod
Stelmor process
multiphase steels
cold heading
numerical modelling
Opis:
The development of the concept of Thermomechanical Controlled Processing (TMCP) in the wire rod rolling mill of CMC Poland has opened up new opportunities for the production of fasteners without the application of heat treatment. The crucial effect of TMCP in the case of wire rod rolling is its capability of shaping fine austenite grain size following the last pass, typically below 20–25 µm in the wire rod cross-section. This is a prerequisite for obtaining the required cold workability level for the cold forming of fasteners, even if hard constituents (bainite, martensite) are present in the wire rod structure. In this paper, the physical simulation and numerical modelling capabilities were described for the design of cooling conditions in the Stelmor process and cold heading operation. The investigated material was conventional 32CrB4 grade used for the fasteners production with the application of heat treatment.
Źródło:
Computer Methods in Materials Science; 2023, 23, 2; 5-16
2720-4081
2720-3948
Pojawia się w:
Computer Methods in Materials Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mean field and full field modelling of microstructure evolution and phase transformations during hot forming and cooling of low carbon steels
Autorzy:
Szeliga, Danuta
Bzowski, Krzysztof
Rauch, Łukasz
Kuziak, Roman
Pietrzyk, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/29520270.pdf
Data publikacji:
2020
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
mean field models
full field models
finite element method
level set method
Opis:
The paper describes a critical comparison of mean field and full field approaches to modelling hot deformation/controlled cooling sequences for steels. Classification of the models, based on the balance between predictive capabilities and computing costs, is presented. Mean field models, which describe microstructure evolution and phase transformations were connected with thermomechanical finite element program and applied to simulation of the hot strip rolling process and cooling of tubes after hot rolling. Full field model described in the paper is a connection of the finite element (FE) and level set (LSM) methods. These methods were used to simulate heating/cooling sequence in the continuous annealing line. A suggestion to use a stochastic model as a bridge between mean field and full field approaches is made.
Źródło:
Computer Methods in Materials Science; 2020, 20, 3; 121-132
2720-4081
2720-3948
Pojawia się w:
Computer Methods in Materials Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fast model for phase transformations during cooling of pre-annealed multiphase steels
Szybkie modele przemian fazowych podczas chłodzenia wstępnie wyżarzonych stali wielofazowych
Autorzy:
Szeliga, Danuta
Kuziak, Roman
Zalecki, Władysław
Pidvysotskyy, Valeriy
Chang, Yuling
Bleck, Wolfgang
Bachniak, Daniel
Pietrzyk, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/29520329.pdf
Data publikacji:
2019
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
CP steel
phase transformations
mean field models
stal CP
przemiany fazowe
średnie modele pola
Opis:
A thorough experimental and numerical analysis of phase transformations in a selected CP800 steel was the general objective of the paper. Dilatometric tests were performed for a wide range of cooling rates. Two models based on a mean field approach were considered. The first was an upgrade of the Johnson-Mehl-Avrami-Kolmogorov equation. The second model was based on the Leblond equation. Both models were identified using inverse analysis of the experimental data. Simulations of various cooling schedules were performed to validate the models. Phase compositions for these cooling schedules were determined. Following this the effect of elements' segregation during solidification of steel on the occurrence of marteniste/bainite bands was accounted for using the developed models.
W artykule opisano doświadczalną i numeryczną analizę przemian fazowych w wybranej stali o podwyższonej wytrzymałości. Próby dylatometryczne wykonano w szerokim zakresie prędkości chłodzenia. Rozważono dwa modele wykorzystujące metodę średniego pola. Pierwszym modelem była zmodernizowana wersja modelu JMAK (Johnson-Mehl-Avrami-Kolmogorov). Drugim modelem było rozwinięcie równania Leblonda. Przeprowadzono identyfikację modeli wykorzystując rozwiązanie odwrotne dla prób dylatometrycznych. W celu walidacji modeli wykonano symulacje różnych schematów chłodzenia. Wyznaczono skład fazowy dla tych schematów. Następnie oszacowano wahania składu chemicznego w badanej stali i wykorzystano opracowane modele do określenie wpływu segregacji pierwiastków podczas krzepnięcia stali na powstawanie pasm martenzytu/bainitu.
Źródło:
Computer Methods in Materials Science; 2019, 19, 4; 150-161
2720-4081
2720-3948
Pojawia się w:
Computer Methods in Materials Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Accounting for the random character of nucleation in the modelling of phase transformations in steels
Autorzy:
Poloczek, Łukasz
Kuziak, Roman
Foryś, Jakub
Szeliga, Danuta
Pietrzyk, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/29519774.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
stochastic model
grain size
phase transformations
dislocation density
cooling of rods
heterogeneity of the microstructure
Opis:
In our earlier work, a stochastic model of multi-stage deformation at elevated temperatures was developed. The model was applied to calculate histograms of dislocation density and grain size at the onset of phase transformation. The histograms were used as input data for the simulation of phase transitions using the traditional deterministic model. Following this approach, microstructural inhomogeneity was predicted for different cooling conditions. The results obtained, showing the effect of dislocation density and inhomogeneity of austenite grain size on the microstructural inhomogeneity of the final product, can be considered reliable as they are based on material models determined in previous publications and validated experimentally. The aim of the present work was to extend the model by taking into account the stochastic nature of nucleation during phase transitions. The analysis of existing stochastic models of nucleation was performed, and a model for ferritic transformation in steels was proposed. Simulations for constant cooling rates as well as for industrial cooling processes of steel rods were performed. In the latter case, uncertainties in defining the boundary conditions and segregation of elements were also considered. The reduction of the computing costs is an important advantage of the model, which is much faster when compared to full field models with explicit microstructure representation.
Źródło:
Computer Methods in Materials Science; 2023, 23, 2; 17-28
2720-4081
2720-3948
Pojawia się w:
Computer Methods in Materials Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-7 z 7

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