Szczegóły publikacji
Opis bibliograficzny
Approximation of ausferrite content in the compacted graphite iron with the use of combined techniques of data mining / K. REGULSKI, D. WILK-KOŁODZIEJCZYK, B. Kacprzyk, G. Gumienny, G. ROJEK, B. MRZYGŁÓD // Archives of Foundry Engineering / Polish Academy of Sciences. Commission of Foundry Engineering ; ISSN 1897-3310. — Tytuł poprz.: Archiwum Odlewnictwa. — 2017 — vol. 17 iss. 3, s. 117–122. — Bibliogr. s. 122, Abstr. — D. Wilk-Kołodziejczyk – dod. afiliacja: Foundry Research Institute
Autorzy (6)
- AGHRegulski Krzysztof
- AGHWilk-Kołodziejczyk Dorota
- Kacprzyk Barbara
- Gumienny Grzegorz
- AGHRojek Gabriel
- AGHMrzygłód Barbara
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 109288 |
|---|---|
| Data dodania do BaDAP | 2017-10-18 |
| DOI | 10.1515/afe-2017-0102 |
| Rok publikacji | 2017 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Archives of Foundry Engineering |
Abstract
This article presents the methodology for exploratory analysis of data from microstructural studies of compacted graphite iron to gain knowledge about the factors favouring the formation of ausferrite. The studies led to the development of rules to evaluate the content of ausferrite based on the chemical composition. Data mining methods have been used to generate regression models such as boosted trees, random forest, and piecewise regression models. The development of a stepwise regression modelling process on the iteratively limited sets enabled, on the one hand, the improvement of forecasting precision and, on the other, acquisition of deeper knowledge about the ausferrite formation. Repeated examination of the significance of the effect of various factors in different regression models has allowed identification of the most important variables influencing the ausferrite content in different ranges of the parameters variability.
