Determination of static recrystallization and recovery parameters for steel by fitting model to stress relaxation data
|Author:||Pohjonen, A1; Seppälä, O1; Jokiranta, A1;|
1Materials and Mechanical Engineering, Faculty of Technology, University of Oulu, PL4200, 90014, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 2.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019081924666
|Publish Date:|| 2019-08-19
A model for static recrystallization by Zurob et al.  has been fitted to experimental stress relaxation  data obtained on a low-alloyed steel using a Gleeble thermomechanical simulator. The model has been implemented as an algorithm that calculates the stress relaxation as a function of time, including physical descriptions of the recovery and recrystallization processes. The activation energy and volume were used as fitting parameters for recovery, and the activation energy of diffusion and nucleation site density were used as the fitting parameters for recrystallization. The four fitting parameters were determined from the experimental data by applying the Nelder-Mead algorithm within Matlab software. It can be concluded from the preliminary results that Zurob’s model can be successfully fitted to the stress relaxation data in order to illustrate the static restoration characteristics and kinetics in carbon steels using these fitting parameters.
Journal of physics. Conference series
7th International Conference on Recrystallization and Grain Growth, 4–9 August 2019, Ghent, Belgium
International Conference on Recrystallization and Grain Growth
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
216 Materials engineering
Financial support from the Academy of Finland through Genome of Steel project is gratefully acknowledged.
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