Szczegóły publikacji
Opis bibliograficzny
Evaluation of data transfer methods efficiency in the random cellular automata model of dynamic recrystallisation / PAWLIKOWSKI Kacper, SITKO Mateusz, Czarnecki Michał, 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. 1559–1564. — Bibliogr. s. 1564, Abstr. — Dostęp również online: https://d21zja6o12zyp0.cloudfront.net/9781644902479.pdf [2023-04-24]
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 146400 |
|---|---|
| Data dodania do BaDAP | 2023-04-24 |
| DOI | 10.21741/9781644902479-168 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Materials Research Proceedings |
Abstract
Numerical simulations can help predict microstructure morphology evolution under hot forming conditions and support final material properties determination. Cellular Automata (CA) is a commonly used full-field method to model changes in microstructure morphology during different metal-forming processes. However, in the case of microstructure evolution changes during high deformation levels, at higher temperatures, the CA method has some limitations related to computational domain geometry changes. The use of random cellular automata (RCA) allows for a more realistic representation of this phenomenon. However, it involves much more effort during model implementation to optimise the algorithm in terms of execution time, which has to be at an acceptable time. This paper is a part of a larger research aiming at developing the dynamic recrystallisation model (DRX) using the RCA directly incorporated into the finite element (FE) framework. The main goal of the current work is to evaluate the efficiency of data transfer approaches between the two mentioned coupled model components. Particular attention is on shortening the execution time thanks to data streams opened in binary mode.
