Szczegóły publikacji
Opis bibliograficzny
Comparative analysis of the properties of the nodular cast iron with carbides and the austempered ductile iron with use of the machine learning and the support vector machine / Dorota WILK-KOŁODZIEJCZYK, Krzysztof REGULSKI, Grzegorz GUMIENNY // International Journal of Advanced Manufacturing Technology ; ISSN 0268-3768. — 2016 — vol. 87 iss. 1–4, s. 1077–1093. — Bibliogr. s. 1092–1093, Abstr. — Publikacja dostępna online od: 2016-03-09. — D. Wilk-Kołodziejczyk - dod. afiliacja: Foundry Research Institute
Autorzy (3)
- AGHWilk-Kołodziejczyk Dorota
- AGHRegulski Krzysztof
- Gumienny Grzegorz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 102006 |
|---|---|
| Data dodania do BaDAP | 2016-12-13 |
| Tekst źródłowy | URL |
| DOI | 10.1007/s00170-016-8510-y |
| Rok publikacji | 2016 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | International Journal of Advanced Manufacturing Technology |
Abstract
The use of modern casting materials allows the achievement of higher product quality indices. The conducted experimental studies of new materials allow obtaining alloys with high performance properties while maintaining low production costs. Studies have shown that in certain areas of applications, the expensive to manufacture austempered ductile iron (ADI) can be replaced with ausferritic ductile iron or bainitic nodular cast iron with carbides, obtained without the heat treatment of castings. The dissemination of experimental results is possible through the use of information technologies and building applications that automatically compare the properties of materials, as the machine learning tools in comparative analysis of the properties of materials, in particular ADI and nodular cast iron with carbides. © 2016, The Author(s).
