Szczegóły publikacji
Opis bibliograficzny
Evaluation of data transfer influence in coupled Monte Carlo finite element model on microstructure evolution predictions / WERMIŃSKI Mariusz, PERZYŃSKI Konrad, SITKO Mateusz, MADEJ Łukasz // 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. 1551–1558. — Bibliogr. s. 1558, Abstr. — Dostęp również online: https://d21zja6o12zyp0.cloudfront.net/9781644902479.pdf [2024-04-23]
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 146399 |
|---|---|
| Data dodania do BaDAP | 2023-04-24 |
| DOI | 10.21741/9781644902479-167 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Materials Research Proceedings |
Abstract
The processes of microstructure evolution under thermal loading occurring during welding or additive manufacturing are highly complex and challenging to observe experimentally. Therefore, in this work, to support experimental investigation, a hybrid numerical model based on the combination of the Monte Carlo (MC) and Finite Element (FE) method was developed to simulate both temperature profiles and corresponding grain growth phenomena at a micro scale explicitly. The welding simulation was selected as a case study. The discrete MC microstructure evolution model is based on the temperature distribution provided by the FE simulation with the Goldak heat source model. The temperature data are transferred from 3D FE space to cubic MC Pott's domain in each time step. Direct coupling between the MC cells and FE cubic elements provides accurate results but significantly increases the simulation time. Therefore, coarser FE meshes are used in the research, but this requires applying reliable data interpolation techniques between the two methods. As a result, the temperature field stored in a coarse FE cloud of points is interpolated into regular high-resolution MC cell space in each time step. Evaluation of the influence of various interpolation methods, along with their parameters on the final microstructure morphology after welding, is presented within this work.