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2026 Sales CMn DRX Precipitation Modeling

Marvin Barros de Miranda Sales, Antonio Lourenc¸o Batista de Souza

2026encomputational modelingfinite element methodhot rollingdynamic recrystallizationprecipitationC-Mn steel

Abstract

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This study proposes a computational model based on the finite element method (FEM) to simulate the thermomechanical behavior of C-Mn steel under continuous cooling. Hot torsion tests were conducted at temperatures from 900 to 1100 °C, with strain rates of 0.1, 1.0, and 10 s⁻¹, and a strain of e = 6.0, using an infrared radiation furnace, argon gas shielding, and a chromel–alumel K-type thermocouple. The experimental data were implemented in DEFORM 3D to formulate equations for dynamic recrystallization (e0:5, XDRX) and recrystallized grain size (dDRX), yielding good agreement with DRX kinetic models and accurate numerical predictions. The results show that recrystallization time increases as temperature decreases, while strain-induced precipitation (SIP) begins after the seventh pass. Small variations in rolling temperature altered the microstructure and average grain size, emphasizing the need for strict process control. These findings confirm that controlled rolling is essential to prevent heterogeneous grain-size distributions that may impair mechanical performance. The main contribution of this study is the development of a thermomechanical computational model capable of evaluating a wide range of processing parameter combinations with high efficiency and reduced experimental effort, enabling accurate prediction of microstructural evolution during hot rolling.

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Cite This Work

@article{0781b9d2-69d5-408b-ad1e-3fec2081006e,
  title={2026 Sales CMn DRX Precipitation Modeling},
  author={Marvin Barros de Miranda Sales and Antonio Lourenc¸o Batista de Souza},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - 2026 Sales CMn DRX Precipitation Modeling
AU  - Marvin Barros de Miranda Sales
AU  - Antonio Lourenc¸o Batista de Souza
PY  - 2026
LA  - en
ER  -

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