Browsing by Keyword "Microalloyed steels"
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Item Design of rolling schedules using an optimization tool(2008) Pena, B.; Arribas, M.; Carrillo, A. R.; Barbero, J. I.; Calvo, J.; Yue, S.; PROMETAL; CIRMETALMost hot rolling models predict microstructure and properties from a given hot rolling schedule. In order to design a rolling schedule to achieve a specified microstructure and properties, changes in the rolling schedule parameters have to be suggested, and the model is then run, with the new schedule. In this work, a predictive software which works together with an .optimization module is presented. This tool systematically considers all the rolling parameters, and then generates 'optimized' rolling schedules which lead to the specified mechanical properties in terms of grain size. It can handle both C and microalloyed steels. For the validation, several designed schedules were run by means of hot torsion testing, and the measured grain sizes showed that the model was working properly.Item Optimisation of total roll power using genetic algorithms in a compact strip production plant(2013) Marquez, Itziar; Arribas, Maribel; Carrillo, Ana; Arana, Jose Luis; CIRMETALThe application of optimisation techniques to hot rolling models can lead to the more efficient use of these models. In this work, a genetic algorithm has been used in order to design new hot rolling schedules with lower energy consumption through a reduction in the total roll power. Firstly, mean flow stress has been modelled for several Nb microalloyed steels produced in a compact strip production plant taking into account recrystallisation and precipitation models. The selected mean flow stress model has been validated against the values obtained from the industrial hot rolling forces using the Sims approach. Secondly, the model has been integrated with a genetic optimisation algorithm and new reductions have been proposed in order to decrease the total rolling power, maintaining all the requirements. The reductions achieved can be up to 10 %.