- Tytuł:
- Approximation of Ausferrite Content in the Compacted Graphite Iron with the Use of Combined Techniques of Data Mining
- Autorzy:
-
Regulski, K.
Wilk-Kołodziejczyk, D.
Kacprzyk, B.
Gumienny, G.
Rojek, G.
Mrzygłód, B. - Powiązania:
- https://bibliotekanauki.pl/articles/379587.pdf
- Data publikacji:
- 2017
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
information technologies
foundry
graphite irons
compacted
ausferrite
data mining
regression
odlewnictwo
technologie informacyjne
zagęszczanie
żeliwo grafitowe - Opis:
- 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.
- Źródło:
-
Archives of Foundry Engineering; 2017, 17, 3; 117-122
1897-3310
2299-2944 - Pojawia się w:
- Archives of Foundry Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł