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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...

Täydet tiedot

Tallennettuna:
Päätekijät: Valerio Zippo, Elisa Robotti, Daniele Maestri, Pietro Fossati, David Valenza, Stefano Maggi, Gennaro Papallo, Masho Hilawie Belay, Simone Cerruti, Giorgio Porcu, Emilio Marengo
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2025-02-01
Sarja:Technologies
Aiheet:
process optimization
steel
mechanical properties
machine learning
genetic algorithm
artificial neural networks
Linkit:https://www.mdpi.com/2227-7080/13/2/75
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