Modeling recrystallization of microalloyed austenite: effect of coupling recovery, precipitation and recrystallization

Zurob, Hatem S.; Hutchinson, Christopher; Bréchet, Y.; Purdy, G.R.

doi:10.1016/s1359-6454(02)00097-6

Cited by 222 publications

(200 citation statements)

References 41 publications

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“…Here, the bulk diffusion coefficient (D V ) is replaced by an effective diffusion coefficient, D eff , expressed as a weighted mean of the bulk diffusion (D V ) and pipe diffusion (D p ) coefficients, and used in the description of the precipitate evolution [10,19]:…”

Section: Theoretical Model and Calculation Of Parametersmentioning

confidence: 99%

Theoretical and Experimental Nucleation and Growth of Precipitates in a Medium Carbon–Vanadium Steel

Medina

Ruiz-Bustinza

Robla

et al. 2017

Metals

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Abstract:Using the general theory of nucleation, the nucleation period, critical radius, and growth of particles were determined for a medium carbon V-steel. Several parameters were calculated, which have allowed the plotting of nucleation critical time vs. temperature and precipitate critical radius vs. temperature. Meanwhile, an experimental study was performed and it was found that the growth of precipitates during precipitation obeys a quadratic growth equation and not a cubic coalescence equation. The experimentally determined growth rate coincides with the theoretically predicted growth rate.

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Section: Theoretical Model and Calculation Of Parametersmentioning

confidence: 99%

Theoretical and Experimental Nucleation and Growth of Precipitates in a Medium Carbon–Vanadium Steel

Medina

Ruiz-Bustinza

Robla

et al. 2017

Metals

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“…In our previous analysis 17, 19) we assumed that the low-velocity conditions were applicable at all times. This is a good assumption given the fact that the driving force associated with recrystallization after hot-deformation is usually small.…”

Section: Effect Of Solutes On Recrystallizationmentioning

confidence: 99%

“…In recent work, Zurob et al 17,19) have explicitly considered the time evolution of strain-induced precipitation and its interaction with recovery and recrystallization. The model assumes that precipitation takes place heterogeneously on the dislocations created by deformation.…”

Section: Development Of a Physically-based Modelmentioning

confidence: 99%

“…The transition form one branch to the other can be smooth as in curve (b) or abrupt as in curve (c). "The nature of the transition is determined by the concentration of the solute and the magnitude of the driving force".In our previous analysis 17, 19) we assumed that the low-velocity conditions were applicable at all times. This is a good assumption given the fact that the driving force associated with recrystallization after hot-deformation is usually small.…”

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confidence: 99%

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Analysis of the Effect of Mn on the Recrystallization Kinetics of High Nb Steel: An Example of Physically-based Alloy Design

Zurob¹,

Zhu

Subramanian

et al. 2005

ISIJ Int.

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Strip casting and thin slab casting are new near net-shape technologies, which have successfully emerged in steels because of significant energy savings, substantial reduction in green house gas emissions and cost benefits. Extensive research was undertaken aimed at integrating microalloying technology with near net-shape casting technology, using a base chemistry of low carbon (0.03 wt%) and high niobium (up to 0.1%wt), which is a well established chemistry for higher grade pipeline steels.In the present contribution, physically-based modelling is used to optimize the Mn content and the processing conditions for the application of strain-accumulation in the new steels. The results of the modelling confirm the distinct advantage of the low Mn chemistry for the application of plate rolling which is carried out in the high temperature window using small to medium deformation passes. The high Mn chemistry is found to be more advantageous when the rolling is carried out in the low temperature window and using large pass reductions. This result is in agreement with recent rolling simulations and mill trials which show that the high Mn chemistry is superior to the low Mn chemistry for the application of near net-shape strip-rolling.KEY WORDS: strip-rolling; effect of Mn; recrystallization; recovery; precipitation; solute-drag; process optimization.The predictive capability of the physically-based approach makes it possible to explore material behaviour over short interpass times which are difficult to access experimentally. We are thus able to optimize, to a first order, the steel chemistry and processing conditions for the strip-rolling of high Nb steels. Further optimization of the chemistry and processing conditions requires experimental inputs that would allow for the verification and improvement of the model. Thus, an important theme of the present contribution is the need to use physically-based modelling in parallel with carefully designed experiments.We start by reviewing the existing experimental observations on the effect of Mn on precipitation and recrystallization (Sec. 2). We then present a physically-based model for the microstructural evolution of hot-rolled austenite during the interpass time (Sec. 3). In Sec. 4, the model is used to analyze the effect of Mn content on the softening kinetics for various processing conditions (i.e. various combinations of temperature and strain). The industrial implications of the model are considered in Sec. 5. Table 1 identifies the base chemistry of the steels being investigated for the application of strain-accumulation in the low temperature window. As mentioned earlier, the low carbon design is based on the need to achieve a very homogenous solid-state microstructure even with high alloying addition of substitutional solutes like Mn and Nb. The contents of N and Ti are based on quantitative modelling of the thermodynamic potential for the precipitation of Ti-Nb carbo-nitrides. These models 5,6) show a distinct advantage of low nitrogen (0.003 wt%) design. The tita...

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“…Coupled models taking into account recovery, precipitation and recrystallization were also developed [27,28]. Numerical models [29][30][31] accounting for recrystallization during and after hot deformation for aluminum alloys were developed, such as the ''Through Process Model'' for the production processes of aluminum [32].…”

Section: Introductionmentioning

confidence: 99%

A mean field model of dynamic and post-dynamic recrystallization predicting kinetics, grain size and flow stress

Beltran

Huang

Logé

2015

Computational Materials Science

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a b s t r a c tA physically-based two-site mean field model has been developed to describe the microstructural evolution due to recrystallization during and after deformation. The model has been applied to predict the recrystallized fraction, recrystallized grain size, and flow stress of 304L austenitic stainless steel during discontinuous dynamic recrystallization (DDRX), post-dynamic recrystallization (PDRX) and grain growth (GG). The model parameters vary with temperature and strain rate but do not depend on grain size. In PDRX and GG regime, the parameters only depend on temperature. The model responds well to conditions with different temperatures, strain rates, strains and/or annealing times. Particular attention is paid to the occurrence of two-stage growth in the recrystallized grain size plots when PDRX occurs. There is a good quantitative agreement between model predictions and experimental results obtained in the different recrystallization regimes, opening the possibility of modeling multi-pass operations compatible with industrial applications.

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Modeling recrystallization of microalloyed austenite: effect of coupling recovery, precipitation and recrystallization

Cited by 222 publications

References 41 publications

Theoretical and Experimental Nucleation and Growth of Precipitates in a Medium Carbon–Vanadium Steel

Theoretical and Experimental Nucleation and Growth of Precipitates in a Medium Carbon–Vanadium Steel

Analysis of the Effect of Mn on the Recrystallization Kinetics of High Nb Steel: An Example of Physically-based Alloy Design

A mean field model of dynamic and post-dynamic recrystallization predicting kinetics, grain size and flow stress

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