Szczegóły publikacji
Opis bibliograficzny
Modification of casting production parameters in order to obtain products with the assumed parameters with using machine learning / Dorota WILK-KOŁODZIEJCZYK, Marcin MAŁYSZA, Krzysztof JAŚKOWIEC, Adam BITKA, Mirosław GŁOWACKI // International Journal of Metalcasting ; ISSN 1939-5981. — 2023 — vol. 17 iss. 4, s. 2680–2688. — Bibliogr. s. 2688, Abstr. — Publikacja dostępna online od: 2023-07-12. — D. Wilk-Kołodziejczyk, M. Małysza, K. Jaśkowiec, A. Bitka - dod. afiliacja: Lukasiewicz Research Network-Krakow Institute of Technology, Kraków, Poland. — M. Głowacki - dod. afiliacja: Jan Kochanowski University of Kielce, Kielce, Poland. — 74th World Foundry Congress : 16-20 October 2022, Busan, Korea
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 150307 |
|---|---|
| Data dodania do BaDAP | 2024-01-08 |
| Tekst źródłowy | URL |
| DOI | 10.1007/s40962-023-01076-9 |
| Rok publikacji | 2023 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | International Journal of Metalcasting |
Abstract
A study was carried out on the possibility of using artificial intelligence in the modification of the casting production process. Proposed solution shows the model for our data and how the changes may affect the cost of metal casting. These activities are the subject of the research described in this article. In the proposed solution, the cost function was added to the prediction model developed and presented by Hazela et al. (J Nanomater, 2022). The data obtained as a result of the model operation were verified using a computer simulation and a physical experiment.