Review on modeling and simulation of dynamic recrystallization of martensitic stainless steels during bulk hot deformation

Derazkola, Hamed Aghajani; García, Eduardo; Murillo-Marrodán, Alberto; Fernandez, Aintzane Conde

doi:10.1016/j.jmrt.2022.03.179

Cited by 37 publications

(10 citation statements)

References 186 publications

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“…The precipitation behavior in high temperature is strongly related to chemical composition. [ 28,29 ]…”

Section: Resultsmentioning

confidence: 99%

Precipitation and Transformation of Carbides during Tempering of 7Cr14 Martensitic Stainless Steel

Wang,

Li,

et al. 2023

steel research int.

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The precipitation and transformation of carbides in steel are gaining more interest since they are closely related to the properties of steel. Here, the precipitation and transformation of carbides during tempering of the 7Cr14 martensitic stainless steel subjected to high temperature solution treatment (HTST) were investigated. The results indicate that the precipitation of M3C (300∽333°C) and M23C6 (612∽645°C) carbides occurs during tempering of the HTST steel. The effective precipitation activation energies of M3C and M23C6 carbides are 120±7 kJ/mol and 272±13 kJ/mol, respectively. The precipitation processes of M3C and M23C6 carbides are dominated by C and Cr atomic diffusion, respectively. Moreover, it is found that two transformation processes occur during the tempering with increasing the temperature, namely, M3C carbides dissolve in the matrix and then M23C6 carbides precipitate along the boundaries of martensitic laths; and the plate‐like M3C carbides decompose into several globular or rod‐like M23C6 carbides that arrange in a chain‐like morphology.This article is protected by copyright. All rights reserved.

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“…The precipitation behavior in high temperature is strongly related to chemical composition. [ 28,29 ]…”

Section: Resultsmentioning

confidence: 99%

Precipitation and Transformation of Carbides during Tempering of 7Cr14 Martensitic Stainless Steel

Wang,

Li,

et al. 2023

steel research int.

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“…To study the microstructural evolutions associated with dynamic recrystallization and nucleation during hot deformation processes, Avrami's kinetic equations have been extensively utilized [16,[28][29][30][31][32]. The onset of dynamic recrystallization is identified when the accumulated plastic strain exceeds the critical strain threshold and the development of recrystallization can be assessed using strain changes at each time step within the elements.…”

Section: Microstructural Constitutive Equationsmentioning

confidence: 99%

Thermal–Mechanical and Microstructural Simulation of Rotary Friction Welding Processes by Using Finite Element Method

Mani,

Taherizadeh,

Sadeghian

et al. 2024

Materials

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Rotary friction welding is one of the most crucial techniques for joining different parts in advanced industries. Experimentally measuring the history of thermomechanical and microstructural parameters of this process can be a significant challenge and incurs high costs. To address these challenges, the finite element method was used to simulate thermomechanical and microstructural aspects of the welding of identical superalloy Inconel 718 tubes. Numerical simulation results were used to compute essential mechanical and metallurgical parameters such as temperature, strain, strain rate, volume fraction of dynamic recrystallization, and grain size distribution. These parameters were subsequently verified using experimental test results. The Johnson–Avrami model was utilized in the microstructural simulation to convert thermomechanical parameters into metallurgical factors, employing a FORTRAN subroutine. The calculated thickness of the recrystallization zone in the wall was 480 and 850 μm at the tube wall’s center and edge, respectively. These values were reported from experimental measurements as 500 and 800 μm, respectively. The predicted grain size changes from the center to the edge of the wall thickness, near the weld interface, ranged from 2.07 to 2.15 μm, comparable to the experimental measurements ranging from 1.9 to 2.2 μm. Various curves are also presented to explore the correlation between thermomechanical and microstructural parameters, with the experimental results revealing predictable microstructure evolutions correlated with thermomechanical changes.

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“…Table 2 lists some commonly used constitutive models, and the description of the material constants in the models can refer to the corresponding literature. The Arrhenius model 17 and the Johnson-Cook (J-C) model 18 have been successfully applied to describe the thermal deformation behaviour of various materials. However, as phenomenological models, they have little metallurgical meaning and cannot reflect the microstructure evolution.…”

Section: Introductionmentioning

confidence: 99%

Influence of carbon on thermal deformation behaviour and deformation/diffusion mechanism of V-microalloyed steel by physical constitutive analysis

Wei,

Li,

Deng

et al. 2024

Ironmaking & Steelmaking: Processes, Products and Applicati

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Hot compression tests of low carbon (0.055C) and medium carbon (0.37C) V-microalloyed steels were carried out in the temperature of 900∼1100 C° and strain rate of 0.005∼10 s–1. The influence of carbon on thermal deformation behaviour and deformation/diffusion mechanism of V-microalloyed steel was studied by three physical constitutive models based on creep theory. It is found that the increase of carbon content has softening effect at low strain rate, but hardening effect at high strain rate. Different carbon content may lead to changes in deformation/diffusion mechanism of V-microalloyed steel. The deformation mechanism of 0.37C steel is dislocation climb, while other deformation mechanism may appear in 0.055C steel. The diffusion mechanism of 0.055C steel is mainly lattice diffusion, while that of 0.37C steel is a synergistic mechanism of lattice diffusion and grain boundary diffusion. The accuracy analysis of the models is consistent with the inferred results of deformation/diffusion mechanism.

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Review on modeling and simulation of dynamic recrystallization of martensitic stainless steels during bulk hot deformation

Cited by 37 publications

References 186 publications

Precipitation and Transformation of Carbides during Tempering of 7Cr14 Martensitic Stainless Steel

Precipitation and Transformation of Carbides during Tempering of 7Cr14 Martensitic Stainless Steel

Thermal–Mechanical and Microstructural Simulation of Rotary Friction Welding Processes by Using Finite Element Method

Influence of carbon on thermal deformation behaviour and deformation/diffusion mechanism of V-microalloyed steel by physical constitutive analysis

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