Machine Learning Approaches to Predict the Hardness of Cast Iron

Machine Learning Approaches to Predict the Hardness of Cast Iron

The accurate prediction of the mechanical properties of foundry alloys is a rather complex task given the substantial variability of metallurgical conditions that can be created during casting even in the presence of minimal variations in the constituents and in the process parameters. In this study...

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Bibliographic Details
Main Authors: C. Fragassa, M. Babic, E. Domingues dos Santos
Format: Article
Language:English
Published: University of Kragujevac 2020-03-01
Series:Tribology in Industry
Subjects:
hardness prediction
spheroidal cast iron (sgi)
compact graphite cast iron (cgi)
machine learning (rf)
random forest (rf)
artificial neural network (nn)
k-nearest neighbors (knn)
Online Access:http://tribology.rs/journals/2020/2020-1/2020-1-01.html

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