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.

Identyfikatory

DOI

10.1515/afe-2017-0102

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

information technologies; foundry; graphite irons; compacted; ausferrite; data mining; regression

PL

odlewnictwo; technologie informacyjne; zagęszczanie; żeliwo grafitowe

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2017
• Tom: Vol. 17, iss. 3
• Strony: 117--122
• Opis fizyczny: Bibliogr. 33 poz., rys., tab., wykr.

Twórcy

autor

Regulski K.

• AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Mickiewicza 30, Kraków, Poland

autor

Wilk-Kołodziejczyk D.

• AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Mickiewicza 30, Kraków, Poland
• Foundry Research Institute, ul. Zakopiańska 73, 30-418 Kraków, Poland

autor

Kacprzyk B.

• Department of Materials Engineering and Production Systems, Lodz University of Technology, Stefanowskiego 1/15 Street, 90-924 Łódź, Poland

autor

Gumienny G.

• Department of Materials Engineering and Production Systems, Lodz University of Technology, Stefanowskiego 1/15 Street, 90-924 Łódź, Poland

autor

Rojek G.

• AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Mickiewicza 30, Kraków, Poland

autor

Mrzygłód B.

• AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Mickiewicza 30, Kraków, Poland

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)