A cellular automaton coupled FEA model for hot deformation behavior of AZ61 magnesium alloys

Wu, He; Wang, Xu; Wang, Sibing; Yang, Zhongsheng; Chen, Yu; Teng, Bugang; Shan, Debin; Guo, Bin

doi:10.1016/j.jallcom.2019.152562

Cited by 32 publications

(14 citation statements)

References 39 publications

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“…Recently, with the rapid increase in computer performance, the DRX kinetics of metals during hot-working has been qualitatively studied by using the software of FEM and CA [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 ]. Irani et al [ 16 ] investigated the DRX kinetics of the AA6060 aluminum alloy by the FEM method.…”

Section: Introductionmentioning

confidence: 99%

Study on the Dynamic Recrystallization Behavior of 47Zr-45Ti-5Al-3V Alloy by CA–FE Simulation

et al. 2021

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The dynamic recrystallization (DRX) behavior of 47Zr-45Ti-5Al-3V alloy was studied by using the experiment and numerical simulation method based on DEFORM-3D software and cellular automata (CA) over a range of deformation temperatures (850 to 1050 °C) and strain rates (10−3 to 100 s−1). The results reveal that the DRX behavior of 47Zr-45Ti-5Al-3V alloy strongly depends on hot-working parameters. With rising deformation temperature (T) and decreasing strain rate (ε˙), the grain size (dDRX) and volume fraction (XDRX) of DRX dramatically boost. The kinetics models of the dDRX and XDRX of DRX grains were established. According to the developed kinetics models for DRX of 47Zr-45Ti-5Al-3V alloy, the distributions of the dDRX and XDRX for DRX grains were predicted by DEFORM-3D. DRX microstructure evolution is simulated by CA. The correlation of the kinetics model is verified by comparing the dDRX and XDRX between the experimental and finite element simulation (FEM) results. The nucleation and growth of dynamic recrystallization grains in 47Zr-45Ti-5Al-3V alloy during hot-working can be simulated accurately by CA simulation, comparing with FEM.

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Section: Introductionmentioning

confidence: 99%

Study on the Dynamic Recrystallization Behavior of 47Zr-45Ti-5Al-3V Alloy by CA–FE Simulation

et al. 2021

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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%

“…It was found that the volume fraction of DRX rose with the reduction in the strain rate and augmentation of the deformation temperature, which was completely in line with the results obtained from the experiment observations. Wu et al [ 11 ] established a physically-based constitutive model, considering the relationship between the stress and the dislocation, and incorporated this model into ABAQUS software to illustrate the microstructure evolution of AZ61 alloy during hot compression. The result shows that the microstructure evolution of AZ61 alloy, including DRX fraction, grain size and grain shape, can be reliably simulated by using the developed FEM model.…”

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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“…The effects of strain rate, strain, and temperature on flow-stress were considered, and the flow-stress models of Nb-Ti steel [1] and 5CrNiMoV steel [2] for single-pass compression were constructed based on the Arrhenius model. To reflect the influence of dislocation, segmented flow-stress models of AZ61 magnesium alloy [3] and 34CrNiMo6 steel [4] were established based on the Kocks-Mecking model during hot compression. Moreover, the effect of average grain size was coupled in the flow-stress model of as-cast 42CrMo billet in ring rolling by Guo et al [5].…”

Section: Introductionmentioning

confidence: 99%

“…

In this work, multi-pass compressions were performed at various strain rates (0.01 s −1 , 0.1 s −1 , 1 s −1 , 10 s −1 ), temperatures (950 • C, 1050 • C, 1150 • C), inter-pass holding time (1 s, 10 s, 30 s, 120 s, 600 s), interrupt strains (0.3, 0.4, 0.5, 0.6), and total pass numbers (1,2,3,4). The intriguing finding was that the recrystallized fraction, average dislocation density, and plastic cumulative strain were partly eliminated during inter-pass holding, resulting in the early occurrence of recrystallization in subsequent compression.

…”

mentioning

confidence: 99%

Flow-Stress Model of 300M Steel for Multi-Pass Compression

Chen

Zeng

Yao

et al. 2020

Metals

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In this work, multi-pass compressions were performed at various strain rates (0.01 s−1, 0.1 s−1, 1 s−1, 10 s−1), temperatures (950 °C, 1050 °C, 1150 °C), inter-pass holding time (1 s, 10 s, 30 s, 120 s, 600 s), interrupt strains (0.3, 0.4, 0.5, 0.6), and total pass numbers (1, 2, 3, 4). The intriguing finding was that the recrystallized fraction, average dislocation density, and plastic cumulative strain were partly eliminated during inter-pass holding, resulting in the early occurrence of recrystallization in subsequent compression. Therefore, a parameter (Θ) to evaluate the overall softening fraction due to recrystallization was proposed, and it was then used to iteratively rectify the average dislocation density and plastic cumulative strain in flow-stress modeling. The flow-stress model parameters of 300M steel for multi-pass compression were identified using an optimization technique based on non-derivative method integrated in MATLAB software. The average deviation of calculated and experimental flow-stress was 0.88 MPa (1.35%), showing good accuracy of the flow-stress model. The microstructure evolution of 300M steel was analyzed by the change of softening fraction during multi-pass compression, which provided a useful reference for the research of stress–microstructure relationships of high-strength steels.

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A cellular automaton coupled FEA model for hot deformation behavior of AZ61 magnesium alloys

Cited by 32 publications

References 39 publications

Study on the Dynamic Recrystallization Behavior of 47Zr-45Ti-5Al-3V Alloy by CA–FE Simulation

Study on the Dynamic Recrystallization Behavior of 47Zr-45Ti-5Al-3V Alloy by CA–FE Simulation

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

Flow-Stress Model of 300M Steel for Multi-Pass Compression

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