Determination of JMAK dynamic recrystallization parameters through FEM optimization techniques

Irani, Missam; Joun, Man Soo

doi:10.1016/j.commatsci.2017.10.007

Cited by 27 publications

(13 citation statements)

References 31 publications

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“…The correction for friction effects on flow curves was made according to Han et al . 9 ., and the Equation 1 shows flow stress data formulation to attained the frictionless effect.…”

Section: Methodsmentioning

confidence: 99%

“…JMAK kinetics has a consolidated application in phase transformation of precipitation through nucleation and growth, which gives the content of a new phase as a function of time [5][6][7] . The global kinetics has been applied in the industrial field of hot forging steels because it represents a "semi-empirical" method, the numerical simulation results of the dynamically recrystallized volume fraction and austenitic grain size [8][9][10] . Besides, in terms of the flow curves, it can be used to model the softening mechanism during the plastic deformation in metallic materials 6,7 .…”

Section: Introductionmentioning

confidence: 99%

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Constitutive Modelling of High Temperature Flow Behaviour for a Low Carbon High Silicon Bainitic Steel

et al. 2020

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It is well recognized the importance of the rheological characterization for the development of the steel in thermomechanical treatments, especially for the mechanical properties improvement of bainitic steels in subsequent hot forging optimization. Therefore, the plastic strain behaviour of a low carbon high silicon bainitic steel was studied through isothermal compression tests using a thermomechanical simulator at temperatures of 1123 K-1423 K and strain rates of 0.1-5 s-1. Arrhenius equation was used to obtain the constitutive constants, which represents the material behaviour of flow stress in high temperature. Besides, work hardening, dynamic recovery, and the JMAK model in the dynamic recrystallization (DRX) of the steel parameters were determined. The second part of this research compared two proposed modified models from the literature, which showed the differences in modelled flow curves behaviour when they are applied for high strain levels. The flow curves were modelled in high strain levels for further implementation in numerical simulation, thus allowing an adjustment of parameters in hot forming processes for this bainitic steel. The proposed models presented an agreement with experimental values. However, only the Avrami equation to DRX showed the dynamic recovery mechanism in high strain levels, which has represented physical behaviour during the thermomechanical process.

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“…The correction for friction effects on flow curves was made according to Han et al . 9 ., and the Equation 1 shows flow stress data formulation to attained the frictionless effect.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Constitutive Modelling of High Temperature Flow Behaviour for a Low Carbon High Silicon Bainitic Steel

et al. 2020

View full text Add to dashboard Cite

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“…Nevertheless, the process of DRX is a continuous dynamic course, which significantly increases the difficulty of dynamically analyzing the evolution of DRX during hot working. With the unprecedented advancement of computer technology, the software of FEM has been extensively applied to reveal the microstructural evolution of metals during hot working [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ]. OuYang et al [ 4 ] established the DRX kinetics model and revealed the nucleation mechanism of the DRX of Ti-10V-2Fe-3V in β processing.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Experimental Study of Dynamical Recrystallization Kinetics of TB8 Titanium Alloys

et al. 2020

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The dynamic recrystallization (DRX) behavior in the hot working of TB8 titanium alloy was studied by using the experiment and finite element simulation (FEM) method. The results showed that the DRX behavior of TB8 titanium alloys was drastically affected by the hot processing parameters. The rising deformation temperature and reducing strain rate led to an augmentation in the grain size (dDRX) and volume fraction (XDRX) of DRX grains. In view of the true stress–strain curves gained from the experiment, the dDRX and XDRX models of DRX grains were constructed. Based on the developed models for DRX of TB8 titanium alloy, the isothermal forging process of the cylindrical samples was simulated by the DEFORM-3D software. The distributions of the effective strain and XDRX for DRX were analyzed. A comparison of the dDRX and XDRX of DRX grains in the central regions of the samples between the experimental and FEM results was performed. A good correlation between the experimental and simulation results was obtained, indicating that the established FEM model presented good prediction capabilities.

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“…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

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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.

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Determination of JMAK dynamic recrystallization parameters through FEM optimization techniques

Cited by 27 publications

References 31 publications

Constitutive Modelling of High Temperature Flow Behaviour for a Low Carbon High Silicon Bainitic Steel

Constitutive Modelling of High Temperature Flow Behaviour for a Low Carbon High Silicon Bainitic Steel

Simulation and Experimental Study of Dynamical Recrystallization Kinetics of TB8 Titanium Alloys

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

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