Development of a Self-Updating System for the Prediction of Steel Mechanical Properties in a Steel Company by Machine Learning Procedures

Development of a Self-Updating System for the Prediction of Steel Mechanical Properties in a Steel Company by Machine Learning Procedures

This study is focused on the implementation of statistical learning methods for the prediction of the mechanical properties of steel products from the chemical profile of the raw material and the process parameters. The integration of this model into the production process allows a large-scale steel...

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Bibliographic Details
Main Authors: Valerio Zippo, Elisa Robotti, Daniele Maestri, Pietro Fossati, David Valenza, Stefano Maggi, Gennaro Papallo, Masho Hilawie Belay, Simone Cerruti, Giorgio Porcu, Emilio Marengo
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Technologies
Subjects:
process optimization
steel
mechanical properties
machine learning
genetic algorithm
artificial neural networks
Online Access:https://www.mdpi.com/2227-7080/13/2/75
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