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Contenuto archiviato il 2022-11-21

Neural networks for process condition prediction in basic oxygen steel-making

Obiettivo

The project objective is to improve end-point analysis and temperature control in the BOS process through the application of neural networks to current computer models for primary charge balancing, sub-lance end-blow control and end-point analysis prediction. Conventional statistical process models based on thermal or physical logic are limited in their ability to account for interrelated variables whose influence is not well understood. Neural networks with their self-learning capabilities are expected to be more accurate, faster and more precise.

Invito a presentare proposte

Data not available

Meccanismo di finanziamento

CSC - Cost-sharing contracts

Coordinatore

British Steel plc
Contributo UE
Nessun dato
Indirizzo
Moorgate
S60 3AR Rotherham
Regno Unito

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Costo totale
Nessun dato

Partecipanti (2)