Dilatometric model for determining the formation of austenite during continuous heating in medium carbon steel

Herrejón-Escutia, Martín; Solorio-Díaz, Gildardo; Vergara–Hernández, Héctor Javier; López–Martínez, Edgar; Vázquez–Gómez, Octavio

doi:10.1007/s10973-018-7936-x

Cited by 9 publications

(8 citation statements)

References 40 publications

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“…Generally, the structure of the industrial polycrystalline samples is uniform, and the dilatation is homogeneous and pronounced during phase transformation, so the thermal dilatation method is often used to measure the phase transformation behavior of alloys with diffusion transformation. [ 19–23 ] However, for shear‐type martensitic transformation, the thermal dilatation method is not effective, because shear transformation has strong directionality, and the volume does not obviously change with temperature, and the dilatational amount measured from different directions varies greatly. [ 24,25 ] Currently, the influence of grain size on diffusion transformation and the columnar‐grained phase transformation behavior on the transformation temperature has been seldom reported.…”

Section: Introductionmentioning

confidence: 99%

Effect of the Initial Columnar‐Grained Inhomogeneity of Electrical Steels on the Transformation Temperature

Yang

et al. 2021

steel research int.

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The effects of various initial structures and heating and cooling rates on the columnar‐grained transformation temperature are studied by a thermal dilatometer and electron backscatter diffraction. The results show that deformation can reduce the thermal hysteresis more effectively than decrease the heating rate, and the phase transformation hysteresis of the deformed sample is the smallest during heating, followed by the columnar‐grained sample with a slow heating rate, whereas the columnar‐grained sample with a fast heating rate has the largest phase transformation hysteresis. Moreover, the dilatational amount changes greatly with cooling rate. The coarse columnar grains can severely restrain dilatation. The smaller dilatational amount is related to the incomplete phase transformation of the columnar grains and also related to the suppression of the dilatational amount of the small grains by the surrounding columnar grains. In contrast, the largest dilatational amount is caused by the relatively sufficient phase transformation. In addition, the changes of the transformation temperature and the dilatational amount are mainly induced by the grain size effect and the inhomogeneity of the structures, but {100} texture can affect the uniformity of grain size.

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Section: Introductionmentioning

confidence: 99%

Effect of the Initial Columnar‐Grained Inhomogeneity of Electrical Steels on the Transformation Temperature

Yang

et al. 2021

steel research int.

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“…For Equation (5) to fully comply with the isokinetic condition, the time dependence must be eliminated, solving t from Equation (3) and substituting it in Equation ( 5), therefore:…”

Section: Non-isothermal-jma Modelmentioning

confidence: 99%

“…In this sense, it has been shown that austenite formation occurs mainly by nucleation and growth processes through studies where kinetic parameters associated with transformation mechanisms in low carbon steels have been empirically determined [1][2][3]. However, there are studies on other types of steels such as: medium and high carbon [4][5][6], microalloyed steels [7,8], cast irons [9][10][11] and alloys with certain quantity of alloying elements such as silicon, manganese and chromium [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, the study related to the formation of austenite has been extended to the use of kinetic models to determine the degree of transformation under isothermal and continuous conditions [1][2][3][5][6][7][8][9][10][11]14,16,17]. The implementation of kinetics models depends mainly on the approach; i.e., analytical kinetic models based on the Johnson-Mehl-Avrami (JMA) model aim to describe the coupled transformation mechanisms (nucleation, growth and impingement) under specific kinetic conditions [16,17], while conventional models try to estimate the transformation degree through the change in dilation strain with respect to the phases present by lattice parameters as a function of temperature and composition [3,6,18].…”

Section: Introductionmentioning

confidence: 99%

“…Likewise, there are models that adjust the transformation degree through numerical-analytical models based on assumptions regarding the type of transformation, using some of the kinetic parameter as an adjustment parameter. This allows for improvement of the estimation of the transformation degree, preserving the analytical foundation regarding the transformation mechanism [5].…”

Section: Introductionmentioning

confidence: 99%

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Application of a Non-Isothermal Numerical-Analytical Model to Determine the Kinetics of Austenite Formation in a Silicon Alloyed Steel

et al. 2022

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A non-isothermal transformation model was proposed to determine the austenite formation kinetics in a steel alloyed with 2.6% wt. Si by dilatometric analysis, considering that the nucleation mechanism does not change with the heating rate. From the dilatometric analysis, it was observed that the austenite formation occurs in two stages; critical temperatures, degree and austenite formation rate were determined. The activation energies associated with each of the stages were obtained employing the Kissinger method (226.67 and 198.37 kJ mol−1 for the first and second stage) which was used in concert with the austenite formation rate in the non-isothermal model as a first approximation, with acceptable results in the second stage, but not in the first due to the activation energies magnitude. Then, the activation energies were adjusted by minimizing the minimal squares error between estimated and experimental austenite formation degree, obtaining values of 158.50 kJ mol−1 for the first and 165.50 kJ mol−1 for the second stage. These values are consistent with those reported for the diffusion of carbon in austenite-FCC in silicon steels. With these activation energies it was possible to predict the austenite formation degree with a better level of convergence when implementing the non-isothermal model.

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Dilatometric Analysis of the Martensite Decomposition by Stages During Continuous Heating

Díaz-Villaseñor

Vázquez–Gómez²,

Barrera-Villatoro

et al. 2020

The Minerals, Metals &Amp; Materials Series

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Dilatometric model for determining the formation of austenite during continuous heating in medium carbon steel

Cited by 9 publications

References 40 publications

Effect of the Initial Columnar‐Grained Inhomogeneity of Electrical Steels on the Transformation Temperature

Effect of the Initial Columnar‐Grained Inhomogeneity of Electrical Steels on the Transformation Temperature

Application of a Non-Isothermal Numerical-Analytical Model to Determine the Kinetics of Austenite Formation in a Silicon Alloyed Steel

Dilatometric Analysis of the Martensite Decomposition by Stages During Continuous Heating

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