TECHNOLOGICAL ADVANCES IN ELECTROPLATING: ARTIFICIAL INTELLIGENCE TO PREDICT ZINC COATING THICKNESS ON SAE 1008 LOW CARBON STEELS

TECHNOLOGICAL ADVANCES IN ELECTROPLATING: ARTIFICIAL INTELLIGENCE TO PREDICT ZINC COATING THICKNESS ON SAE 1008 LOW CARBON STEELS

This study presents an artificial intelligence (AI)-based approach for predicting the thickness of electrodeposited zinc coatings on low carbon steel. The thickness of the coating is directly related to the corrosion resistance of the steel, according to the ABNT NBR 10476. The study investigates th...

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Bibliographic Details
Main Authors: Luciano M. L. de Oliveira, Fabiana L. da Silva, Paulo R. Janissek, Juliano C. Toniolo
Format: Article
Language:English
Published: Sociedade Brasileira de Química 2025-02-01
Series:Química Nova
Subjects:
artificial intelligence
electrodeposited zinc coating
electroplating
XGBoost
electrodeposition
thickness prediction
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422025000400315&lng=en&tlng=en
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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422025000400315&lng=en&tlng=en

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