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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Pohjonen, Aarne
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2023Gradient boosted regression trees for modelling onset of austenite decomposition during cooling of steelscitations
- 2023Evaluation of a processing route and microstructural characteristics for the development of ultrafine bainite in low-temperature ausformed medium-carbon steelscitations
- 2022Virtual rolling automation and setup calculations for six stands FEM finishing millcitations
- 2022Analysis of grain size distribution evolution of steel during recrystallization and grain growthcitations
- 2021Optimization of the CCT curves for steels containing Al, Cu and Bcitations
- 2020Towards industrial applicability of (medium C) nanostructured bainitic steels (TIANOBAIN)
- 2019Optimization of CCT equations using calculated grain boundary soluble compositions for the simulation of austenite decomposition of steelscitations
- 2018Analytical approximations and simulation tools for water cooling of hot rolled steel stripcitations
Places of action
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article
Virtual rolling automation and setup calculations for six stands FEM finishing mill
Abstract
igitalization is becoming increasingly common in the steel industry. Formerly developed models of individual phenomenon or separate sub-processes are being further developed into wider complexes where multiple models are coupled together. Virtual rolling automation, which can be used to control a finite-element rolling model, is a new element in these complexes. The automation enables to model the variations caused by the process adjustment. It must be taken in the account that neither the model nor the industrial process are ideal, but there are limitations in the attainable accuracy in both cases. Inclusion of the new automation control in the FE-model introduces new requirements: the setup calculations for all six rolling stands and the automation logic adjustments must perform within the model. The focus of the current article is prediction of the roll force and the virtual rolling automation of six stand finishing mill.