Data Classification in Temperature Modelling of LD-KG Converter
| Authors: | Ruuska Jari, University of Oulu, Finland
Ollila Seppo, Rautaruukki Oyj, Ruukki Production, Raahe, Finland
Leiviskä Kauko, University of Oulu, Finland |
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| Topic: | 6.2 Mining, Mineral & Metal Processing |
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| Session: | Steel Mills, Sintering, Furnaces and Converters |
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| Keywords: | LD-KG converter, data classification, temperature control, steel making |
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Abstract
In this paper a temperature model for an LD-KG-converter is presented. Especially the classification of the variables into groups is discussed. In the steel plant there was a need to develop models for predicting the temperature at the end of the blow, using the dropping sensor measurement. Large databases from the steel plant were used in modelling. The expert knowledge from the personnel in the steel plant was utilised during the project. In off-line test runs 75 – 80 % of the blows were predicted within the target window, ±10°C. The developed temperature model is in the use on the three 120 tonnes LD-KG-converters in Ruukki Production, Raahe Steel Works.
