Multistage discretization and clustering in multivariable classification of the impact of alloying elements on properties of hypoeutectic silumin

• Autorzy: Regulski Krzysztof , Wilk-Kołodziejczyk Dorota , Kluska-Nawarecka Stanisława , Szymczak Tomasz , Gumienny Grzegorz , Jaśkowiec Krzysztof

Identyfikatory

DOI

10.1016/j.acme.2018.08.003

• Języki publikacji: EN

Abstrakty

EN

The properties of hypoeutectic Al–Si alloy (silumin) with the addition of elements such as Cr, Mo, V and W are described. Changes in silumin microstructure under the impact of these elements result in a change of the mechanical properties. The research includes presentation of procedure for the acquisition of knowledge about these changes directly from experimental results using mixed data mining techniques. The procedure for analyzing small sets of experimental data for multistage, multivariate and multivariable models has been developed. Its use can greatly simplify such research in the future. An interesting achievement is the development of a voting procedure based on the results of classification trees and cluster analysis.

Słowa kluczowe

EN

Al-Si alloy; data mining; clustering; decision tree; discretization

PL

stop Al; eksploracja danych; drzewo decyzyjne; dyskretyzacja

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2019
• Tom: Vol. 19, no. 1
• Strony: 114--126
• Opis fizyczny: Bibliogr. 33 poz., rys., tab., wykr.

Twórcy

autor

Regulski Krzysztof

• AGH University of Science and Technology, Krakow, Poland

autor

Wilk-Kołodziejczyk Dorota

• Foundry Research Institute, Zakopiańska 73, Krakow, Poland
• AGH University of Science and Technology, Krakow, Poland

autor

Kluska-Nawarecka Stanisława

• Foundry Research Institute, Zakopiańska 73, Krakow, Poland

autor

Szymczak Tomasz

• Lodz University of Technology, Lodz, Poland

autor

Gumienny Grzegorz

• Lodz University of Technology, Lodz, Poland

autor

Jaśkowiec Krzysztof

• Foundry Research Institute, Zakopiańska 73, Krakow, Poland

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019)