Szczegóły publikacji
Opis bibliograficzny
Microstructure modelling during heating and deformation of S355 steel samples in the temperature range of phase transformation using a coupled FE/CA/MC model / T. DĘBIŃSKI, M. HOJNY // Archives of Foundry Engineering [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2299-2944 . — Tytuł poprz.: Archiwum Odlewnictwa. — 2025 — vol. 25 iss. 4, s. 211–219. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 218–219, Abstr. — Publikacja dostępna online od: 2025-12-31
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 165446 |
|---|---|
| Data dodania do BaDAP | 2026-01-15 |
| Tekst źródłowy | URL |
| DOI | 10.24425/afe.2025.157619 |
| Rok publikacji | 2025 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Archives of Foundry Engineering |
Abstract
This paper presents a calculation method to model the material morphology during heating and deformation of samples to temperatures close to the solidus line. Two approaches were used, for heating and heating with deformation. In the first case, only the temperature information of the FEM mesh nodes is transferred to MC model. In the case of heating and deformation, a FE/CA model was proposed where the computational domain is mapped based on the displacement vectors from the FEM mesh. The developed model is a hybrid of the finite element method (FEM) with Monte Carlo (MC) and Random Cellular Automata (RCA) methods. It is used to simulate thermomechanical processes such as resistance heating, local remelting and sample deformation. At the macroscopic level, a modified rigid-plastic model with a controlled compressibility condition was used. A Gleeble 3800 thermomechanical simulator was used in the study for heating, melting, cooling and deformation experiments of steel samples. Validation of the micro model was performed on metallographic scans and quantitative and qualitative grains analysis. Comparison of the experimental and numerical data made it possible to evaluate the accuracy of the model.
