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2023 | OriginalPaper | Chapter

Prediction of Grain Size Evolution During Hot Rolling of HSLA Steels Considering Precipitation

Authors : Goran Kugler, Jan Foder, Boštjan Bradaškja, David Bombač

Published in: TMS 2023 152nd Annual Meeting & Exhibition Supplemental Proceedings

Publisher: Springer Nature Switzerland

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Abstract

A physical-based model for predicting grain size evolution during multi-pass hot rolling of HSLA steels has been developed, consisting of two coupled modules. The first is a microstructure module based on modeling the interaction of an ensemble of multiple grains. It considers strain hardening, dynamic recovery, and dynamic recrystallization during plastic deformation, as well as static recovery, static recrystallization, metadynamic recrystallization, and grain growth after straining. In the second module, the KWN multiclass approach was used together with classical nucleation theory for simulations of precipitation kinetics during thermomechanical processing. The parameters of the model were obtained through extensive experiments with the Gleeble-machine, thermodynamic calculations with Thermo-Calc software, and microstructural characterizations of selected HSLA steel grades. A user-friendly application for simulating the hot rolling schedule was developed for industrial use. The results of the simulations show good predictability of the simulation system compared to industrial results for different hot rolling schedules.

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Metadata
Title
Prediction of Grain Size Evolution During Hot Rolling of HSLA Steels Considering Precipitation
Authors
Goran Kugler
Jan Foder
Boštjan Bradaškja
David Bombač
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-22524-6_35

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