Record link: 
http://hdl.handle.net/20.500.12708/223611
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Title: 
Empirical Roll Wear Model to Predict Changes of the Roll Surface Height Distribution in a Temper Rolling Process
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Citation: 
Fischer, N., Kugi, A., & Steinboeck, A. (2025). Empirical Roll Wear Model to Predict Changes of the Roll Surface Height Distribution in a Temper Rolling Process. In 20th IFAC Symposium on Optimization and Automation in Mining, Minerals and Metal Processing - MMM 2025 (pp. 48–53). https://doi.org/10.1016/j.ifacol.2025.12.395
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Publisher DOI: 
10.1016/j.ifacol.2025.12.395
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Fischer, Nico 
Kugi, Andreas 
Steinboeck, Andreas 
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Organisational Unit: 
E376-02 - Forschungsbereich Komplexe Dynamische Systeme 
E056-10 - Fachbereich SecInt-Secure and Intelligent Human-Centric Digital Technologies 
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Published in: 
20th IFAC Symposium on Optimization and Automation in Mining, Minerals and Metal Processing - MMM 2025 
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Volume: 
59
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Date (published): 
Oct-2025
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Event name: 
20th IFAC Symposium on Optimization and Automation in Mining, Minerals and Metal Processing - MMM 2025 
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Event date: 
22-Oct-2025 - 24-Oct-2025
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Event place: 
Lima, Peru
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Number of Pages: 
6
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Keywords: 
nonlinear system identification; work roll wear; temper rolling process
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Research Areas: 
Modeling and Simulation: 100%
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Science Branch: 
2020 - Elektrotechnik, Elektronik, Informationstechnik: 100%
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Appears in Collections:
Conference Paper

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