Numerical simulation on recrystallization behavior and microstructure evolution during hot continuous rolling process of 38CrMoAl steel rod

Li, Fēi; Zhang, Liwen; Zhang, Chi; Song, Kang-jie; Mao, Pei-gang

doi:10.1007/s42243-022-00835-y

Cited by 4 publications

(2 citation statements)

References 38 publications

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“…Dynamic recrystallization (DRX) is a significant improvement method during thermoplastic deformation processes, which mainly aims at material softening, grain refinement, microstructure control and plastic-forming ability. Moreover, the microstructure formed by DRX directly determines the mechanical properties of the material [ 63 ]. Domestic and foreign scholars have conducted a large amount of research on multiple research directions of DRX by using the CA method and have gained innovative results, including using a constitutive model and the CA method to simulate microstructure evolution [ 4 , 64 ].…”

Section: Application Progress Of Ca In Microstructure Simulationmentioning

confidence: 99%

Review on Cellular Automata for Microstructure Simulation of Metallic Materials

Zhi,

Jiang,

et al. 2024

Materials

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The cellular automata (CA) method has played an important role in the research and development of metallic materials. CA can interpret the microstructure changes of materials and obtain more abundant, accurate and intuitive information of microstructure evolution than conventional methods. CA can visually represent the process of grain formation, growth, development and change to us in a graphical way, which can assist us in analysis, thinking and solving problems. In the last five years, the application of CA in materials research has been rapidly developed, and CA has begun to occupy an increasingly important position in the simulation research of metallic materials. After introducing the advantages and limitations of CA compared to other widely used simulation methods, the purpose of this paper is to review the recent application progress on the microstructure simulation of metallic materials using CA, such as solidification, recrystallization, phase transformation and carbide precipitation occurring during forming and heat treatment. Specifically, recent research advances on microstructure simulation by CA in the fields of additive manufacturing, welding, asymmetrical rolling, corrosion prevention, etc., are also elaborated in this paper. Furthermore, this paper points out the future work direction of CA simulation in the research of metallic materials, especially in the simulation of the crystal structure, the prediction of mechanical properties, CA simulation software and rule systems, etc. These are expected to attract wide attention of researchers in the field of metallic materials and promote the development of CA in materials research.

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Section: Application Progress Of Ca In Microstructure Simulationmentioning

confidence: 99%

Review on Cellular Automata for Microstructure Simulation of Metallic Materials

Zhi,

Jiang,

et al. 2024

Materials

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“…The dynamic recrystallization grain size d (μm) of austenite is mainly related to deformation temperature, deformation rate and peak strain. The calculation model of dynamic recrystallization grain size is [8]:…”

Section: Recrystallization Growth Kineticsmentioning

confidence: 99%

Study on dynamic recrystallization of ultra-high strength 22MnB5 steel during hot rolling

Long,

Zhang,

Yang

et al. 2023

J. Phys.: Conf. Ser.

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The effect of deformation temperature and strain rate on the recrystallization behavior of ultra-high strength hot formed 22MnB5 steel was systematically studied by isothermal compression experiments, and the microstructure was characterized and analyzed. The results show that the peak stress and peak strain of 22MnB5 steel decrease with increasing deformation temperature and increase with increasing strain rate. The dynamic recrystallization of 22MnB5 steel is more sensitive to temperature and less affected by strain rate. The recrystallization behavior is significant during isothermal deformation above 1323 K. Based on the hyperbolic sinusoidal constitutive equation, the accurate prediction model of dynamic recrystallization grain size and a dynamic recrystallization critical strain model for 22MnB5 steel were established. The relationship between recrystallization austenite grain size and deformation temperature and deformation amount was obtained as follows: d=4.1×103[ε·exp(350.38/RT)]. The critical strains of complete recrystallization and complete non-crystallization at each deformation temperatures were determined by the critical strain model, which can provide a basis for the optimization design of rolling process parameters.

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Numerical simulation of continuous hot rolling process for ultra-thick SiCp/2009Al composites plate

Wang,

Cao,

et al. 2023

Int J Interact Des Manuf

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Numerical simulation on recrystallization behavior and microstructure evolution during hot continuous rolling process of 38CrMoAl steel rod

Cited by 4 publications

References 38 publications

Review on Cellular Automata for Microstructure Simulation of Metallic Materials

Review on Cellular Automata for Microstructure Simulation of Metallic Materials

Study on dynamic recrystallization of ultra-high strength 22MnB5 steel during hot rolling

Numerical simulation of continuous hot rolling process for ultra-thick SiCp/2009Al composites plate

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