Experimental and numerical study on the temperature sensitivity of the dynamic recrystallization activation energy and strain rate exponent in the JMAK model

Irani, Missam; Lim, Seung-Taek; Joun, Man Soo

doi:10.1016/j.jmrt.2018.11.007

Cited by 18 publications

(9 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this way, and as acquired in an early work 9 , the modeling of the flow curves of this material, as well as the (JMAK) "Johnson-Mehl-Avrami-Kolmogorov" parameters 10 , are necessary for assessing its microstructural evolution such as in recrystallization kinetics. Thus, enabling the application of "semi-empirical" numerical models, based on methods previously proposed by [11][12][13][14][15][16][17] , which can simulate the complexity of the hot forging process and the grain size evolution.…”

Section: Introductionmentioning

confidence: 99%

“…Although the new methodology 11,13 is excellent for predicting grain size evolution and flow curves through the JMAK equation, it has not yet been applied in industrial hot forging in high strain rate presses (above 50 s -1 ) in this bainitic steel. Also, the kinetics of austenitic grain growth industrial closed die hot forging after load release has not been discussed using a finite element FEM method approach.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Numerical and Experimental Study of an Industrial Case for Grain Size Evolution in Bainitic Steel in Controlled Hot Forging and its Influence on Mechanical Performance

et al. 2022

View full text Add to dashboard Cite

Controlling the recrystallization is an important way to reach grain size refinement and outstanding strength and toughness on alloy metals. This study sets out the application and investigation of mathematical microstructure modeling of a newly designed bainitic steel for hot forging industrial applications. The macro-scale model was used to observe and predict the austenitic grain size behavior during the controlled forging of a gear. Arrhenius grain growth kinetic and recrystallization model for a new class of bainitic steel was established for the given strain rate ranges and temperatures. This model was calibrated through microscopic analysis and used to simulate the unpublished constants of low alloyed bainitic forging steel DIN 18MnCrSiMo6-4 microstructure module using DEFORM® commercial finite element code. The increased temperature due to the adiabatic effect was investigated by numerical analysis, demonstrating its influence on grain coarsening. Local tensile test and Charpy-V notch were compared at different industrial hot forging temperatures and local plastic strain. Changes in yield strength and ductility have demonstrated the grain size influence on the processing parameters. The employed numerical model was an efficient tool to predict and present an alternative path to develop robust industrial forging using semi-empirical models.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Study of an Industrial Case for Grain Size Evolution in Bainitic Steel in Controlled Hot Forging and its Influence on Mechanical Performance

et al. 2022

View full text Add to dashboard Cite

show abstract

“…To give full play to the precipitation strengthening effect of Ti, more Ti needs to be dissolved into the matrix. [6][7][8][9][10] Therefore, increasing the heating temperature of the casting billet or directly rolling the billet is usually adopted. However, the initial austenite grains of the directly rolled casting billet or high-temperature austenitized casting billet are extremely coarse.…”

Section: Introductionmentioning

confidence: 99%

“…However, the initial austenite grains of the directly rolled casting billet or high-temperature austenitized casting billet are extremely coarse. [7,[11][12][13] In addition, dynamic recrystallization (DRX) occurs during rolling. After deformation, meta-DRX, static recrystallization, and grain growth behaviors occur during pass intervals.…”

Section: Introductionmentioning

confidence: 99%

Modeling of the Dynamic Recrystallization of Ti Microalloyed High‐Strength Steel

Zhou

Wang

et al. 2021

steel research int.

View full text Add to dashboard Cite

show abstract

“…Innovative studies have considered the quantitative dependence of X DRX activation energy and strain rate exponent on the temperature variation in high carbon steels. They also were successful in minimizing errors between the experimental values and correspondent finite element solutions using optimization tools [11][12][13] . However, there are some implications concerning the validation of a robust model for hot forging processes that should be considered, such as thermomechanical history, complex strain fields, fibering zones as well as steady-state conditions in flow curves.…”

Section: Introductionmentioning

confidence: 99%

Austenitic Grain Size Prediction in Hot Forging of a 20MnCr5 Steel by Numerical Simulation Using the JMAK Model for Industrial Applications

et al. 2019

View full text Add to dashboard Cite

Yield strength and toughness in steels are directly associated with hot forging processes, especially by controlling austenitic grain size and cooling conditions. The phenomenological JMAK model in macroscale has been applied in different material classes to predict grain size after hot forming. However, on an industrial application, there is still a lack of understanding concerning the synergic effects of strain rate and temperature on recrystallization. This preliminary study aimed at investigating the applicability of coupled semi-empirical JMAK and visco-elastoplastic models in numerical simulation to predict austenitic grain size (PAGS). Hot forging of cylindrical samples of a ferritic-perlitic DIN 20MnCr5 steel was performed followed by water quenching. The main influences, such as temperature, strain and strain rate fields following the recrystallization model were investigated using the subroutine of FORGE NxT 2.1 software. The results were evaluated by comparing experimentally measured and simulated PAGS at process end. The forging process generates different strain and strain rate fields in the workpiece, which in turn lead to a variation in the PAGS and recrystallization fractions. The simulation was able to detect the PAGS variation showing a good agreement between the experimental forging results and the applied model.

show abstract

Experimental and numerical study on the temperature sensitivity of the dynamic recrystallization activation energy and strain rate exponent in the JMAK model

Cited by 18 publications

References 26 publications

Numerical and Experimental Study of an Industrial Case for Grain Size Evolution in Bainitic Steel in Controlled Hot Forging and its Influence on Mechanical Performance

Numerical and Experimental Study of an Industrial Case for Grain Size Evolution in Bainitic Steel in Controlled Hot Forging and its Influence on Mechanical Performance

Modeling of the Dynamic Recrystallization of Ti Microalloyed High‐Strength Steel

Austenitic Grain Size Prediction in Hot Forging of a 20MnCr5 Steel by Numerical Simulation Using the JMAK Model for Industrial Applications

Contact Info

Product

Resources

About