Predicting the Tensile Behaviour of Cast Alloys by a Pattern Recognition Analysis on Experimental Data

Predicting the Tensile Behaviour of Cast Alloys by a Pattern Recognition Analysis on Experimental Data

The ability to accurately predict the mechanical properties of metals is essential for their correct use in the design of structures and components. This is even more important in the presence of materials, such as metal cast alloys, whose properties can vary significantly in relation to their const...

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Bibliographic Details
Main Authors: Cristiano Fragassa, Matej Babic, Carlos Perez Bergmann, Giangiacomo Minak
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Metals
Subjects:
material properties prediction
experimental data analysis
ductile/spheroidal cast iron (SGI)
compact graphite cast iron (CGI)
Machine Learning (RF)
pattern recognition
Random Forest (RF)
Artificial Neural Network (NN)
k-nearest neighbours (kNN)
Online Access:https://www.mdpi.com/2075-4701/9/5/557

Internet

https://www.mdpi.com/2075-4701/9/5/557

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