Szczegóły publikacji
Opis bibliograficzny
Data mining tools in identifying the components of the microstructure of compacted graphite iron based on the content of alloying elements / Dorota WILK-KOŁODZIEJCZYK, Krzysztof REGULSKI, Grzegorz Gumienny, Barbara Kacprzyk, Stanisława Kluska-Nawarecka, Krzysztof Jaskowiec // International Journal of Advanced Manufacturing Technology ; ISSN 0268-3768. — 2018 — vol. 95 iss. 9–12, s. 3127–3139. — Bibliogr. s. 3138–3139, Abstr. — Publikacja dostępna online od: 2017-12-07
Autorzy (6)
- AGHWilk-Kołodziejczyk Dorota
- AGHRegulski Krzysztof
- Gumienny Grzegorz
- Kacprzyk Barbara
- Kluska-Nawarecka Stanisława
- Jaskowiec Krzysztof
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 113102 |
|---|---|
| Data dodania do BaDAP | 2018-04-20 |
| Tekst źródłowy | URL |
| DOI | 10.1007/s00170-017-1430-7 |
| Rok publikacji | 2018 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | International Journal of Advanced Manufacturing Technology |
Abstract
The application of data mining techniques in the design of modern foundry materials allows achieving higher product quality indicators. Designing of a new product always requires thorough knowledge of the effect of alloying elements on the microstructure and hence also on the properties of the examined material. The conducted experimental studies allow for a qualitative assessment of the indicated relationships, but it is the use of intelligent computational techniques that enables building an approximation model of the microstructure and, owing to this, make predictions with high precision. The developed model of prediction supports the technology-related decisions as early as at the stage of casting design and is considered the first step in selecting the type of material used.