Szczegóły publikacji
Opis bibliograficzny
Through process stochastic model of hot strip rolling / SZELIGA Danuta, CZYŻEWSKA Natalia, KUSIAK Jan, OPROCHA Piotr, PIETRZYK Maciej, PRZYBYŁOWICZ Paweł // W: ESAFORM 2023 : 26th international ESAFORM conference on Material Forming : 19–21 April 2023, Kraków, Poland / eds. Łukasz Madej, Mateusz Sitko, Konrad Perzyński. — Millersville : Materials Research Forum LLC, cop. 2023. — (Materials Research Proceedings ; ISSN 2474-3941 ; vol. 28). — ISBN: 978-1-64490-246-2; e-ISBN: 978-1-64490-247-9. — S. 1631–1640. — Bibliogr. s. 1639–1640, Abstr. — Dostęp również online: https://d21zja6o12zyp0.cloudfront.net/9781644902479.pdf [2023-04-24]
Autorzy (6)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 146401 |
|---|---|
| Data dodania do BaDAP | 2023-04-24 |
| DOI | 10.21741/9781644902479-176 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Materials Research Proceedings |
Abstract
Advanced numerical models, which predict heterogeneity of microstructural features, are needed to design modern multiphase steels. 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 to equations describing the evolution of the dislocations and the grain size during hot deformation. The idea of the internal variable model with the dislocation density and the grain size being stochastic variables is described briefly in the paper. Histograms of the grain size measured in the experimental compression tests were used to identify the coefficients in the model. Inverse analysis with the objective function based on the distance between histograms was applied. The model was used to simulation of the various technological routes in the industrial process of the hot strip rolling.