uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Model-based Slopping Warning in the LD Steel Converter Process
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. (reglerteknik)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. (reglerteknik)
2009 (English)In: Journal of Process Control, ISSN 0959-1524, Vol. 19, no 6, 1000-1010 p.Article in journal (Refereed) Published
Abstract [en]

The most prevalent steel-making process is the basic oxygen steel-making (BOS) process. Problems arise when the layer of foaming slag created on the surface of the molten metal exceeds the height of the vessel and overflows, causing metal loss, process disruption and environmental pollution. This phenomenon is commonly referred to as slopping. A method for automatic slopping detection is described in this contribution. The sound signal from a microphone located in the off-gas funnel is processed to obtain an estimate of the slag level in the converter. A model describing the relationship between off-gas flow rate, pressure and the slag level estimate is updated recursively in time. The output error is fed to a change detector yielding a warning system with three alarm levels indicating the persistence of slopping symptoms. The algorithm was tested on data from 100 heats at SSAB Oxelosund. Slopping was correctly detected in 80% of the blows.

Place, publisher, year, edition, pages
Elsevier , 2009. Vol. 19, no 6, 1000-1010 p.
Keyword [en]
Modelling, Adaptive filters, Soft sensors, Metals industry, Steel
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-119900DOI: 10.1016/j.jprocont.2009.01.002ISI: 000267084200009OAI: oai:DiVA.org:uu-119900DiVA: diva2:301249
Available from: 2010-03-03 Created: 2010-03-03 Last updated: 2010-07-23Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Medvedev, Alexander

Search in DiVA

By author/editor
Medvedev, Alexander
By organisation
Automatic control
In the same journal
Journal of Process Control
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 474 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf