Modeling of work hardening behaviour of high Mn and low C polycristalline austenitic steel with twip effect

Spindola, Mirelle Oliveira; Ribeiro, Erica Aparecida Silva; Gonzalez, Berenice Mendonça; Santos, Dagoberto Brandão

doi:10.1590/s1517-70762010000200009

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Initially, the effect of grain size refinement on n was evaluated based on the Morrison equation [2], and lower values of n for the samples with smaller grain sizes were expected [16][17][18]. However, despite the TMCP, the sample in the as-received condition revealed to have an average grain size larger than the steel in the as-bent condition, as can be seen in the micrographs obtained by OM and SEM in Figures 1 and 2. The microstructure of the steel shows a ferritic matrix with dispersed particles of the martensite-austenite (M-A) constituents and other microphases.…”

Section: Resultsmentioning

confidence: 99%

Precipitation and Grain Size Effects on the Tensile Strain-Hardening Exponents of an API X80 Steel Pipe after High-Frequency Hot-Induction Bending

Silva

Pinto

Kuznetsov

et al. 2018

Metals

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Abstract:This study discusses the use of the Morrison model to estimate the strain-hardening exponent (n) in the presence of precipitation hardening for an API X80 steel pipe. As the grain size becomes larger, high values of n are expected according to the Morrison equation. However, the grain size alone is not sufficient to explain the changes of the strain-hardening exponent (n) after hot-induction bending. The vanadium in the ferritic solid solution has an important influence on the decrease of the precipitation hardening, and consequently on the increase of the values of n, despite the refinement of the grain size and high dislocation densities. Therefore, the effects of grain boundaries on the capability to uniformly distribute deformations within the plastic regime become negligible, which limits the application of the Morrison model to estimate the values of n.

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Section: Resultsmentioning

confidence: 99%

Precipitation and Grain Size Effects on the Tensile Strain-Hardening Exponents of an API X80 Steel Pipe after High-Frequency Hot-Induction Bending

Silva

Pinto

Kuznetsov

et al. 2018

Metals

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“…However, there are few researches about the hot flow behavior [6][7][8][9][10][11][12][13][14]. These studies show, as expected, the influence of temperature (T), plastic deformation or strain () and strain rate ( ) on the hot flow behavior.…”

Section: Introductionmentioning

confidence: 60%

Modeling the hot flow behavior of a Fe–22Mn–0.41C–1.6Al–1.4Si TWIP steel microalloyed with Ti, V and Nb

Mejı́a

Reyes-Calderón

Cabrera

2015

Materials Science and Engineering: A

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Cite this article as: I. Mejía, F. Reyes-Calderón and J.M. Cabrera, Modeling the hot flow behavior of a Fe-22Mn-0.41 C-1.6Al-1.4Si TWIP steel microalloyed with Ti, V and Nb, Materials Science & Engineering A, http://dx. AbstractThe present research work analyses the influence of Ti, V and Nb microalloying elements on the hot flow behavior of a high-Mn TWIP (Twinning Induced Plasticity) steel. For this purpose, flow curves were obtained by uniaxial hot compression tests performed at four strain rates (10 -1 , 10 -2 , 10 -3 and 10 -4 s -1 ) and three temperatures (900, 1000 and 1100 ºC). The models of Estrin, Mecking and Bergstrom; Avrami and Tegart, and Sellars were applied to determine the hot working constants used to derive the constitutive equations describing the flow curves.The analysis of modeling parameters of the hot flow curves shows that Ti, V and Nb additions to TWIP steel generated slight increase in the peak stress ( p ), retardation of the dynamic recrystallization (DRX) onset, particularly at low temperature, and decrease in the activation energy required to recrystallization (Q t ). Likewise, the softening effect promoted by DRV and DRX was more evident at high temperatures and low strain rates. On the other hand, the resulting deformed microstructures, analyzed by the SEM-EBSD technique, showed that the most important refining effect on recrystallized austenitic grain was in the presence of V and Ti. The good agreement between the experimental and predicted hot flow curves demonstrated that the developed constitutive equations predict with reasonable accuracy the hot flow behavior of the studied TWIP steels.

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Modeling of work hardening behaviour of high Mn and low C polycristalline austenitic steel with twip effect

Cited by 2 publications

References 16 publications

Precipitation and Grain Size Effects on the Tensile Strain-Hardening Exponents of an API X80 Steel Pipe after High-Frequency Hot-Induction Bending

Precipitation and Grain Size Effects on the Tensile Strain-Hardening Exponents of an API X80 Steel Pipe after High-Frequency Hot-Induction Bending

Modeling the hot flow behavior of a Fe–22Mn–0.41C–1.6Al–1.4Si TWIP steel microalloyed with Ti, V and Nb

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