Determination of Recrystallization Kinetics Model of 30Cr2Ni4MoV Steel Based on Dislocation Density

Zhou, Peng; Xian, Qing

doi:10.4028/www.scientific.net/ssp.263.59

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…The flow stress obtained from the thermal simulation experiment can not only reflect the performance of the material during processing in a high temperature state but also manifest the change in the microstructure of the material during thermal deformation 1 , 2 . At present, many scholars use the control variable method to obtain the flow curve and apply the flow curve as the basis for further research on the thermal deformation behavior of the material and the mechanism of tissue evolution 3 – 5 . However, during the thermal simulation experiment, the true stress value of the flow curve is calculated under the condition of uniform deformation of the material, which is inconsistent with the actual condition of the material under compression.…”

Section: Introductionmentioning

confidence: 99%

Data correction and verification of thermal simulation experiments under the influence of bulging belly

Zheng,

Xu,

Zou

et al. 2023

Sci Rep

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During the thermal simulation compression test, the formation of an obvious bulge in the specimen leads to a certain deviation between the calculated and actual values of the true stress. The finite element method was used to simulate the single-pass compression of specimens of 34CrNi3MoV steel and obtain the actual nonuniform deformation of the bulging belly during the compression process, and the results were applied to correct experimental flow curves. The results showed that the deformation conditions had a significant influence on the nonuniformity of the specimen deformation during the compression process, and all the modified flow curves were lower than the original ones. The size of the bulge and the metal flow line in the finite element simulation were consistent with the test results. The load value obtained by using the modified flow curve was similar to the load value measured in the test, which indicated that the modified flow curve was very close to the real flow force curve of the material. The method used to modify the flow force curve is simple and practical.

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Section: Introductionmentioning

confidence: 99%

Data correction and verification of thermal simulation experiments under the influence of bulging belly

Zheng,

Xu,

Zou

et al. 2023

Sci Rep

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“…8 The numerical tools that are applied include ab initio solutions to the Schroodinger equation, fitting of effective many-body interaction potentials, molecular dynamics simulation, Monte Carlo simulation of defect evolution, phase-field modeling and quasicontinuum rate theory. [8][9][10][11][12][13][14][15] These methods are often very complex and have their limits of their applicability for modeling steels and alloys. 14 In iron crystals, carbon atoms are in interstitials and in the diffusion process they pass from one interstitial site to another.…”

Section: Introductionmentioning

confidence: 99%

Development of a statistical model for calculating the carbon diffusion parameters in iron and steels

Bobyr¹,

Loschkarev²,

Sharfnadel³

2022

MSEIJ

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Carbon diffusion in metals has received a lot of attention and has been the subject of intensive theoretical investigations in recent years. The purpose of this work is development a simple statistical model of the carbon atoms diffusion in the crystal lattice of metals and its application for calculating the diffusion coefficients of carbon atoms in iron and steel. The relationship between the diffusion flux of atoms and the gradient of their chemical potential, as required by non-equilibrium thermodynamics, is obtained from the basic principles of statistical thermodynamics. For a real solid solution of impurity atoms in a metal, an expression is found for the diffusion coefficient, the value of which depends on physical constants, the atomic weight of the solute, the square of the temperature and activity i-element in solid solution. The calculations have a good agreement with the known experimental data on the diffusion of carbon atoms in iron and steels and is higher than in classical atomic diffusion models. The activation energy of carbon diffusion in γ- phase of various steels has values close to 120 kJ. Proposed formula well describes the deviation of the carbon diffusion coefficient from the Arrhenius law at medium and high temperature.

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Determination of Recrystallization Kinetics Model of 30Cr2Ni4MoV Steel Based on Dislocation Density

Cited by 2 publications

References 20 publications

Data correction and verification of thermal simulation experiments under the influence of bulging belly

Data correction and verification of thermal simulation experiments under the influence of bulging belly

Development of a statistical model for calculating the carbon diffusion parameters in iron and steels

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