INFLUENCE OF PROCESS PARAMETERS ON THE PROPERTIES OF AUSTEMPERED DUCTILE IRON (ADI) EXAMINED WITH THE USE OF DATA MINING METHODS

被引：0

作者：

Wilk-Kolodziejczyk, D. ^{[1
,2
]}

Mrzyglod, B. ^{[2
]}

Regulski, K. ^{[2
]}

Olejarczyk-Wozenska, I. ^{[2
]}

Jaskowiec, K. ^{[1
]}

机构：

[1] Foundry Res Inst, Krakow, Poland

[2] AGH Univ Sci & Technol, PL-30059 Krakow, Poland

来源：

METALURGIJA | 2016年 / 55卷 / 04期

关键词：

ADI; mechanical properties; temperature; data mining; cluster analysis;

D O I：

暂无

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

The article presents opportunities offered by the data mining analysis as applied to studies of the effect of process parameters on the mechanical properties of ADI. The applied methods of regression trees and cluster analysis allow for the detection of relationships between parameters and also allow determination of strength and form of the impact of different factors. The results of this study allow the creation of knowledge bases for systems supporting the decision-making process in technology.

引用

页码：849 / 851

页数：3

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