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- Title
Multivariate process monitoring of EAFs.
- Authors
Sandberg, Erik; Lennox, Barry; Marjanovic, Ognjen; Smith, Keith
- Abstract
Improved knowledge of the effect of scrap grades on the electric steelmaking process and optimised scrap loading practices increase the potential for process automation. As part of an ongoing programme, process data from four Scandinavian EAFs have been analysed, using the multivariate process monitoring approach, to develop predictive models for end point conditions such as chemical composition, yield and energy consumption. The models developed generally predict final Cr, Ni and Mo and tramp element contents well, but electrical energy consumption, yield and content of oxidisable and impurity elements (C, Si, Mn, P, S) are at present more difficult to predict. Potential scrap management applications of the prediction models are also presented.
- Subjects
STEEL industry; MULTIVARIATE analysis; SCRAP metals; ELECTRICAL steel; ENERGY consumption
- Publication
Ironmaking & Steelmaking, 2005, Vol 32, Issue 3, p221
- ISSN
0301-9233
- Publication type
Article
- DOI
10.1179/174328105X45884