Speaker
Description
A part of the digitalisation efforts in the steel industry concerns the numerical optimisation of the steel production chain to increase quality, productivity, and sustainable production. We present the multiscale computational modelling of a typical steel processing route, comprising continuous casting, controlled cooling, annealing, reheating, reverse and continuous hot rolling, cooling bed, and heat treatment. The modelling concept is based on horizontal coupling, in which simulation codes for different processing or product use steps are connected to their associated multiscale structures and material properties, and on vertical coupling, in which simulation codes at multiple length scales are used to describe product properties. The scales we cope with range from the grain size to several tenths of a meter. The microstructure is formulated using the phase-field method, the mesostructure using the cellular automaton method, and the macroscopic electromagnetic, fluid mechanics, and solid mechanics fields using continuum mechanics. We present a solution framework for describing the related multiscale and multiphysics thermomechanical problems based on a space-time adaptive meshless solution procedure for the microscopic and macroscopic scales, and on the point automata concept for the mesoscopic scale. The phenomena addressed by this meshless technique range from large-eddy simulation of continuous casting to elastoplastic deformation of products on the cooling bed. Artificial intelligence is used to replace physics-based models when sufficient data are available (e.g., genetic programming) and for optimisation (e.g., evolutionary computing). The validation of some of the models and concepts based on plant and laboratory measurements is shown.
| Speaker Company/University | University of Ljubljana |
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