Szczegóły publikacji
Opis bibliograficzny
Bainite transformation time model optimization for Austempered Ductile Iron with the use of heuristic algorithms / Izabela OLEJARCZYK-WOŻEŃSKA, Andrzej OPALIŃSKI, Barbara MRZYGŁÓD, Krzysztof REGULSKI, Wojciech Kurowski // Computer Methods in Materials Science : quarterly / Akademia Górniczo-Hutnicza ; ISSN 2720-4081. — Tytuł poprz.: Informatyka w Technologii Materiałów ; ISSN: 1641-3948. — 2022 — vol. 22 no. 3, s. 115–125. — Bibliogr. s. 125, Abstr.
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 145074 |
|---|---|
| Data dodania do BaDAP | 2023-02-07 |
| Tekst źródłowy | URL |
| DOI | 10.7494/cmms.2022.3.0786 |
| Rok publikacji | 2022 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp | |
| Creative Commons | |
| Czasopismo/seria | Computer Methods in Materials Science |
Abstract
The paper presents the application of heuristic optimization methods in identifying the parameters of a model for bainite transformation time in ADI (Austempered Ductile Iron). Two algorithms were selected for parameter optimization – Particle Swarm Optimization and Evolutionary Optimization Algorithm. The assumption of the optimization process was to obtain the smallest normalized mean square error (objective function) between the time calculated on the basis of the identified parameters and the time derived from the experiment. As part of the research, an analysis was also made in terms of the effectiveness of selected methods, and the best optimization strategies for the problem to be solved were selected on their basis.