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

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 acqu...

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Published in:Archives of Civil and Mechanical Engineering 2019-03, Vol.19 (1), p.114-126
Main Authors: Regulski, Krzysztof, Wilk-Kołodziejczyk, Dorota, Kluska-Nawarecka, Stanisława, Szymczak, Tomasz, Gumienny, Grzegorz, Jaśkowiec, Krzysztof
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creator Regulski, Krzysztof
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description 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.
doi_str_mv 10.1016/j.acme.2018.08.003
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subjects Alloying elements
Alloys
Aluminum
Aluminum base alloys
Chromium
Civil Engineering
Classification
Cluster analysis
Clustering
Computer science
Crystallization
Data mining
Engineering
Mechanical Engineering
Mechanical properties
Molybdenum
Multivariate analysis
Original Research Article
Structural Materials
Tensile strength
Tungsten
Variables
Yield stress
title Multistage discretization and clustering in multivariable classification of the impact of alloying elements on properties of hypoeutectic silumin
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