| Issue |
Rev. Met. Paris
Volume 102, Number 5, May 2005
Coulée continueAgglomération Lignes aval Utilisation de l'acier Métallurgie |
|
|---|---|---|
| Page(s) | 361 - 371 | |
| DOI | https://doi.org/10.1051/metal:2005130 | |
| Published online | 06 June 2005 | |
Investigation of sinter plant production rate and RDI by neural networks
Data from the Rautaruukki Raahe sinter plant were analyzed with feed-forward neural networks. The resulting models were used to investigate and optimize the sinter plant production rate and the reduction degradation index (RDI) that is an important sinter quality indicator for small blast furnaces. Especially, the effects of controllable parameters such as the chemical composition of sinter, physical conditions of raw materials and factors reflecting the sintering event were studied.
© La Revue de Métallurgie, 2005
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.