Study of static recrystallization behavior in hot deformed Ni-based superalloy using cellular automaton model

Lin, Y.C.; Liu, Yanxing; Chen, Mingsong; Huang, Ming‐Hui; Ma, Xiang; Long, Zhili

doi:10.1016/j.matdes.2016.03.050

Cited by 89 publications

(30 citation statements)

References 55 publications

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“…Also, the variations of microstructure for several typical nickel-based superalloys are investigated by Huda et al [30], Żaba et al [31], Cheng et al [32], Yang et al [33], Zhang et al [34]. Liu et al [35,36] developed the accurate CA models to describe the dynamic and static recrystallization behaviors of GH4169 superalloy. Despite some researches focusing on the microstructural evolution and flow behaviors of some nickelbased superalloys, the flow softening behavior still need to be further investigated.…”

Section: Introductionmentioning

confidence: 99%

Study of Flow Softening Mechanisms of a Nickel-Based Superalloy With Δ Phase

Lin

Chen

et al. 2016

Archives of Metallurgy and Materials

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The flow softening behaviors of a nickel-based superalloy with δ phase are investigated by hot compression tests over wide ranges of deformation temperature and strain rate. Electron backscattered diffraction (EBSD), optical microscopy (OM), and scanning electron microscopy (SEM) are employed to study the flow softening mechanisms of the studied superalloy. It is found that the flow softening behaviors of the studied superalloy are sensitive to deformation temperature and strain rate. At high strain rate and low deformation temperature, the obvious flow softening behaviors occur. With the increase of deformation temperature or decrease of strain rate, the flow softening degree becomes weaken. At high strain rate (1s−1), the flow softening is mostly induced by the plastic deformation heating and flow localization. However, at low strain rate domains (0.001-0.01s−1), the effects of deformation heating on flow softening are slight. Moreover, the flow softening at low strain rates is mainly induced by the discontinuous dynamic recrystallization and the dissolution of δ phase (Ni3Nb).

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Section: Introductionmentioning

confidence: 99%

Study of Flow Softening Mechanisms of a Nickel-Based Superalloy With Δ Phase

Lin

Chen

et al. 2016

Archives of Metallurgy and Materials

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“…The reason for such a difference may be because that the elongated grain boundaries provide more potential nucleation sites for recrystallization due to a higher ratio of the grain boundary volume to grain volume. At the same time, the newly formed recrystallized grains impinge earlier with support of the morphology change of the matrix, resulting in a smaller average grain size as compared to the conventional CA simulation [5][6][7][8][9][10][11][12][13][14][15][16][17][18]. In addition, it can be also found that the grain morphology deformation has a decreased effect on the critical strain for DRX.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Chen et al [13,14] predicted microstructural evolution during DRX of an ultra-super-critical rotor steel. In addition, the DRX behavior of TRIP steel [15], C-Mn micro-alloy steel [16], Ti-alloy [17] and Ni-based alloy [18] was studied by using improved CA models. However, in order to perfect the classical CA model for DRX, the following two aspects still need further investigation.…”

Section: Introductionmentioning

confidence: 99%

Mesoscale modeling and simulation of microstructure evolution during dynamic recrystallization of a Ni-based superalloy

Chen

Cui

et al. 2016

Appl. Phys. A

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Microstructural evolution and plastic flow characteristics of a Ni-based superalloy were investigated using a simulative model that couples the basic metallurgical principle of dynamic recrystallization (DRX) with the twodimensional (2D) cellular automaton (CA). Variation of dislocation density with local strain of deformation is considered for accurate determination of the microstructural evolution during DRX. The grain topography, the grain size and the recrystallized fraction can be well predicted by using the developed CA model, which enables to the establishment of the relationship between the flow stress, dislocation density, recrystallized fraction volume, recrystallized grain size and the thermomechanical parameters.

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“…Raabe (2000) developed a cellular automata-crystal plasticity model to define the defor-B S. Serajzadeh serajzadeh@sharif.edu 1 Department of Materials Science and Engineering, Sharif University of Technology, Azadi Ave., Tehran, Iran mation behavior of partially recrystallized aluminum alloys. Lin et al (2016) employed a probabilistic cellular automaton (CA) model to predict the rate of isothermal static recrystallization in Ni-based alloys. Raabe and Hantcherli (2005) employed two-dimensional cellular automata modeling to evaluate recrystallization texture under isothermal conditions in heavily-deformed IF-steels.…”

Section: Introductionmentioning

confidence: 99%

Simulation of non-isothermal recrystallization kinetics in cold-rolled steel

Mortazavi

Serajzadeh

2018

Multiscale and Multidiscip. Model. Exp. and Des.

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In this work, a model has been developed to determine thermal and microstructural events during non-isothermal annealing of rolled carbon steels. In the first place, the process of cold rolling under both symmetrical and asymmetrical conditions was mathematically modeled employing an elastic-plastic finite element formulation to define the distribution of plastic strain and internal stored energy. In the next step, two-dimensional model based on cellular automata was generated to assess softening kinetics in annealing treatment. At the same time, a thermal model based on Galerkin-finite element analysis was coupled with the microstructural model to consider temperature variations during heat treatment. The impact of different parameters such as heating rate, annealing temperature, and initial microstructures were all taken into account. To validate the employed algorithm, the predictions were compared with the experimental results and a reasonable agreement was found. Accordingly, the simulation results can be employed for designing a proper mechanical-thermal treatment to achieve the desired microstructure as well as mechanical properties under practical processing conditions.

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Study of static recrystallization behavior in hot deformed Ni-based superalloy using cellular automaton model

Cited by 89 publications

References 55 publications

Study of Flow Softening Mechanisms of a Nickel-Based Superalloy With Δ Phase

Study of Flow Softening Mechanisms of a Nickel-Based Superalloy With Δ Phase

Mesoscale modeling and simulation of microstructure evolution during dynamic recrystallization of a Ni-based superalloy

Simulation of non-isothermal recrystallization kinetics in cold-rolled steel

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