Modeling the Dynamic Recrystallization and Flow Curves Using the Kinetics of Static Recrystallization

Area of Science:

• Materials Science
• Metallurgy
• Computational Materials Science

Background:

• Hot deformation processes are crucial in steel manufacturing.
• Understanding recrystallization kinetics is key to controlling material properties.
• Dynamic recrystallization (DRX) significantly impacts metal flow behavior during hot working.

Purpose of the Study:

• To develop and validate a model for predicting dynamic recrystallization (DRX) kinetics in steels.
• To utilize static recrystallization (SRX) data for DRX modeling.
• To assess the influence of chemical composition on DRX initiation.

Main Methods:

• Modeling DRX based on SRX kinetics.
• Calculating metal flow curves using predicted deformation.
• Experimental validation using hot torsion tests on 1045 steel (1000-1100 °C, 0.1-10 s⁻¹).

Main Results:

• The developed model accurately predicts metal flow curves.
• Model predictions showed less than 6% difference from experimental flow stress values.
• The study assessed the impact of alloying elements on the critical strain for DRX initiation.

Conclusions:

• The proposed method effectively predicts DRX kinetics by adapting SRX data to continuous deformation conditions.
• This approach is valuable for designing and optimizing metal hot forming processes.
• Accurate flow curve prediction enhances process control and material design.