Open AccessDetermination of static recrystallization and recovery parameters for steel by fitting model to stress relaxation data
Author(s) -
Aarne Pohjonen,
Oskari Seppälä,
A. Jokiranta,
Antti Kaijalainen,
Mahesh C. Somani,
David Porter,
Jari Larkiola,
Jukka Kömi
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1270/1/012013
Subject(s) - recrystallization (geology) , materials science , activation energy , nucleation , stress relaxation , dynamic recrystallization , relaxation (psychology) , experimental data , matlab , thermodynamics , hot working , computer science , metallurgy , microstructure , mathematics , physics , chemistry , geology , statistics , psychology , paleontology , social psychology , creep , operating system
A model for static recrystallization by Zurob et al. [1] has been fitted to experimental stress relaxation [2] 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.