<div class="csl-bib-body">
<div class="csl-entry">Marko, L., Kugi, A., & Steinboeck, A. (2023). Data-based prediction of the correction roll intermesh in industrial hot-dip galvanizing lines. In <i>2023 IEEE Conference on Control Technology and Applications (CCTA)</i> (pp. 898–904). IEEE. https://doi.org/10.1109/CCTA54093.2023.10253412</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/204501
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dc.description.abstract
In the continuous hot-dip galvanizing process, the final zinc coating thickness is heavily influenced by the distance between the strip surface and the gas wiping dies which blow off excess zinc. To this end, establishing a flat, non-curved strip is a key prerequisite to minimize coating thickness deviations and inhomogeneities. A common way to influence the lateral strip profile is to introduce a controlled plastic deformation of the strip at the guiding rolls in the zinc bath. This motivates a data-based study of the optimal roll intermesh value of the zinc bath rolls to achieve a flat (zero-crossbow) strip profile during the galvanizing process. Based on this analysis, a data-based algorithm for the online prediction of the optimal roll intermesh value at the head end of each strip is developed and implemented in an industrial processing line. The prediction results from 1045 strips demonstrate the feasibility and accuracy of the proposed prediction algorithm.
en
dc.language.iso
en
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dc.subject
Hot-dip galvanizing
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dc.subject
Data-Based Analysis
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dc.subject
steel strip
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dc.title
Data-based prediction of the correction roll intermesh in industrial hot-dip galvanizing lines
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
979-8-3503-3544-6
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dc.relation.issn
2768-0762
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dc.description.startpage
898
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dc.description.endpage
904
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
2768-0770
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tuw.booktitle
2023 IEEE Conference on Control Technology and Applications (CCTA)