COMPLAS 2023

Modular FE-Modeling of Heavy Plate Rolling Processes using Customized Model Reduction Approaches

  • Nemetz, Andreas (Johannes Kepler University)
  • Parteder, Erik (voestalpine Grobblech GmbH)
  • Reimer, Paula (LCM - Linz Center of Mechatronics)
  • Kaltenbrunner, Thomas (voestalpine Grobblech GmbH)
  • Heise, Bodo (voestalpine Grobblech GmbH)
  • Lekue, Jagoba (LCM - Linz Center of Mechatronics)
  • Gross, Thomas (LCM - Linz Center of Mechatronics)
  • Falkner, Stefan (voestalpine Grobblech GmbH)
  • Egger, Rupert (voestalpine Grobblech GmbH)
  • Zeman, Klaus (Johannes Kepler University)

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Heavy plates are indispensable semi-finished products used in steel, pipe, bridge and ship construction, wind energy, power plants, and offshore applications. The product quality, validated with respect to geometrical, mechanical-technological, and surface properties, is strongly linked with the production process. To achieve the desired quality level, the production process must be carried out within well-defined narrow tolerances. To meet these challenges, adequate modeling of the rolling process as a main stage in the heavy plate process chain has become a necessity to ensure the required product quality. In contrast to continuous strip rolling, where the workpiece can be modeled as a semi-infinite strip, and 2D modeling can be argued well, this strategy is insufficient for the comprehensive modeling of heavy plate rolling processes. The geometry of the heavy plate favors an inhomogeneous distribution of relevant state variables such as temperature. In addition, if the process involves longitudinal and spreading passes, the required plate rotation spoils the assumption of plate symmetry that might have been acceptable before rotation. Consequently, suitable reduced models cannot be derived trivially for the heavy plate rolling process, and modeling tailored to the object of investigation is indispensable. It must be determined which modeling depth is appropriate for the respective investigation. Models for developing a rolling schedule, or online models limited to pre-calculate integral process variables such as rolling forces, are less critical regarding the trade-off between accuracy and efficiency, especially if measured data are available for model calibration. However, models intended to resolve the evolution of inhomogeneities in the field variables are more demanding and computationally expensive. For such models, usually used offline, an effective modular modeling strategy is developed. Depending on the process examined, the chosen depth of investigation, and the inclusion or exclusion of specific effects, mutually complementing and interchangeable modules may constitute an efficient modeling strategy valid for the specific subject of interest of the heavy plate rolling process. The presented approach reduces the enormous cost of complete 3D simulation as much as the model purpose allows.