Use of Artificial Neural Networks in Steelmaking Oxygen Converters

Prediction of the end of blow and the final carbon content of liquid steel.

Autori

• Felipe Farage David

Parametri

• 60 pagine
• 3 ore di lettura

• Tecnologia e Ingegneria

Maggiori informazioni sul libro

Focusing on the decarburization process in primary refining through the Oxygen Converter, this book emphasizes the significance of controlling key variables like oxygen blowing duration and final carbon content. It presents a mathematical model enhanced by artificial intelligence, specifically artificial neural networks, to predict these variables based on the analysis of outlet gases from the converter. The model's predictions align well with actual data from a steel mill, demonstrating its practical application in improving productivity in melt shops.

Lingua: Inglese

Pubblicato: 2020

(In brossura)