Stochastic model describing evolution of microstructural parameters during hot rolling of steel plates and strips

• Autorzy: Szeliga Danuta , Czyżewska Natalia , Klimczak Konrad , Kusiak Jan , Kuziak Roman , Morkisz Paweł , Oprocha Piotr , Pietrzyk Maciej , Poloczek Łukasz , Przybyłowicz Paweł

Identyfikatory

DOI

10.1007/s43452-022-00460-2

• Języki publikacji: EN

Abstrakty

EN

Enhancing strength-ductility synergy of materials has been for decades an objective of research on structural metallic materials. It has been shown by many researchers that significant improvement of this synergy can be obtained by tailoring heterogeneous multiphase microstructures. Since large gradients of properties in these microstructures cause a decrease of the local fracture resistance, the objective of research is to obtain smoother gradients of properties by control of the manufacturing process. Advanced material models are needed to design such microstructures with smooth gradients. These models should supply information about distributions of various microstructural features, instead of their average values. Models based on stochastic internal variables meet this requirement. Our objective was to account for the random character of the recrystallization and to transfer this randomness into equations describing the evolution of dislocations and grain size during hot deformation and during interpass times. The idea of this stochastic model is described in the paper. Experiments composed of uniaxial compression tests were performed to supply data for the identification and verification of the model in the hot deformation and static recrystallization parts. Histograms of the grain size were measured after hot deformation and at different times after the end of deformation. Identification and validation of the model were performed. The validated model, which predicts evolution of heterogeneous multiphase microstructure, is the main output of our work. The model was implemented in the finite element program for hot rolling of plates and sheets and simulations of these processes were performed. The model’s capability to compare and evaluate various rolling strategies are demonstrated in the paper.

Słowa kluczowe

EN

stochastic model; microstructural parameters; hot rolling; steel plate

PL

model stochastyczny; parametr mikrostrukturalny; walcowanie na gorąco; blacha stalowa

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2022
• Tom: Vol. 22, no. 3
• Strony: art. no. e139
• Opis fizyczny: Bibliogr. 36 poz., rys., tab., wykr.

Twórcy

autor

Szeliga Danuta

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

• https://orcid.org/0000-0002-2915-8317

autor

Czyżewska Natalia

• Faculty of Applied Mathematics, AGH University of Science and Technology, al. Mickiewicza 30, 30‑059 Krakow, Poland

autor

Klimczak Konrad

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

autor

Kusiak Jan

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

autor

Kuziak Roman

• Łukasiewicz Research Network, Institute for Ferrous Metallurgy, ul. K. Miarki 12, 44‑100 Gliwice, Poland

autor

Morkisz Paweł

• Faculty of Applied Mathematics, AGH University of Science and Technology, al. Mickiewicza 30, 30‑059 Krakow, Poland

autor

Oprocha Piotr

• Faculty of Applied Mathematics, AGH University of Science and Technology, al. Mickiewicza 30, 30‑059 Krakow, Poland

autor

Pietrzyk Maciej

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

autor

Poloczek Łukasz

• Łukasiewicz Research Network, Institute for Ferrous Metallurgy, ul. K. Miarki 12, 44‑100 Gliwice, Poland

autor

Przybyłowicz Paweł

• Faculty of Applied Mathematics, AGH University of Science and Technology, al. Mickiewicza 30, 30‑059 Krakow, Poland

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)