Comparative analysis of the properties of the nodular cast iron with carbides and the austempered ductile iron with use of the machine learning and the support vector machine

被引:40
|
作者
Wilk-Kolodziejczyk, Dorota [1 ,2 ]
Regulski, Krzysztof [1 ]
Gumienny, Grzegorz [3 ]
机构
[1] AGH Univ Sci & Technol, Krakow, Poland
[2] Foundry Res Inst, Krakow, Poland
[3] Lodz Univ Technol, Lodz, Poland
关键词
Austempered ductile iron (ADI); Nodular cast iron with carbides (NCIC); Cast iron; Data mining; Machine learning; Support vector machine; FAULT-DIAGNOSIS; SYSTEM; IDENTIFICATION; OPTIMIZATION; MODELS;
D O I
10.1007/s00170-016-8510-y
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The use of modern casting materials allows the achievement of higher product quality indices. The conducted experimental studies of new materials allow obtaining alloys with high performance properties while maintaining low production costs. Studies have shown that in certain areas of applications, the expensive to manufacture austempered ductile iron (ADI) can be replaced with ausferritic ductile iron or bainitic nodular cast iron with carbides, obtained without the heat treatment of castings. The dissemination of experimental results is possible through the use of information technologies and building applications that automatically compare the properties of materials, as the machine learning tools in comparative analysis of the properties of materials, in particular ADI and nodular cast iron with carbides.
引用
收藏
页码:1077 / 1093
页数:17
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