Modeling of soft impingement effect during solid-state partitioning phase transformations in binary alloys

Chen, Hao; Zwaag, Sybrand van der

doi:10.1007/s10853-010-4922-5

Cited by 47 publications

(21 citation statements)

References 20 publications

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“…This temperature range is referred to as a stagnant stage in the literature. 7,32,33) The ferrite-austenite interface has to pass the manganese-rich region formed during prior austenite growth involving manganese partitioning. Manganese is an austenite stabilizer and the austenite near the interface is more stable than that with the nominal composition further away from the interface.…”

Section: Discussionmentioning

confidence: 99%

A Microstructure Evolution Model for Intercritical Annealing of a Low-carbon Dual-phase Steel

2014

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A model was developed to describe the microstructure evolution during intercritical annealing of a lowcarbon steel suitable for industrial production of DP600 grade dual-phase steel on a hot-dip galvanizing line. The microstructure evolution model consists of individual submodels for ferrite recrystallization, austenite formation and decomposition constructed using the Johnson-Mehl-Avrami-Kolmogorov approach and the additivity principle. The submodels for recrystallization and austenite formation are adopted from a previous study. The present paper provides a detailed analysis of the model development for the decomposition of intercritical austenite. The overall microstructure evolution model is validated using simulated industrial thermal paths for intercritical annealing. Model validation is expedited by in-situ measurements of the recrystallization completion temperature using laser ultrasonics and the intercritical austenite formation and decomposition using dilatometry.

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Section: Discussionmentioning

confidence: 99%

A Microstructure Evolution Model for Intercritical Annealing of a Low-carbon Dual-phase Steel

2014

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“…Coupled with & M. Enomoto enomotom@mx.ibaraki.ac.jp this, Zener's linearized approximation [4,8] was extended to include the effects of soft impingement, i.e., the overlap of carbon diffusion field from a particle growing on the opposite side of a grain [11]. Moreover, since in continuous heating the carbon concentration at the a/c interface decreases with temperature, the carbon diffusion profile has a slope in austenite, descending toward the transformation front.…”

Section: Simulation Methods Linearized Gradient Approximation With Sofmentioning

confidence: 99%

Simulation of the growth of austenite during continuous heating in low carbon iron alloys

Enomoto

Hayashi

2015

J Mater Sci

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The growth of austenite from martensite or carbon-supersaturated ferrite matrix during continuous heating, which accompanies carbon diffusion in the growing austenite, was studied by DICTRA and linearized gradient approximation extended to include soft impingement of diffusion fields in the matrix. While the austenite growth is controlled by carbon diffusion in ferrite at an early stage, it is controlled by diffusion in austenite at the intermediate and late stages. At a low heating rate, the austenite-finish temperature A f is almost equal to the Ae 3 temperature of the alloy, whereas at a high heating rate, A f exceeds the Ae 3 to a progressively larger extent with the increasing heating rate and matrix grain size. At a very high heating rate, i.e., 10 5 -10 6°C /s, the mobility of a/c interface is likely to have a significant influence on the growth of austenite, and the untransformed ferrite matrix is transformed in a massive mode. These results are in accordance with the earlier observation of austenite formation during rapid heating in a low carbon iron alloy.

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“…In this case the carbon concentration far away from the c/a interface (C ¥ ) equals the nominal concentration (C 0 ): C ¥ = C 0 . In such a condition, the carbon concentration profile surrounding the ferrite grains, C(r), can be approximated by a second-order polynomial, [35] where the carbon concentration as a function of the distance r from the interface (r = 0 at the c/a interface) is given by…”

Section: Ferrite Growthmentioning

confidence: 99%

Analysis of the Grain Size Evolution for Ferrite Formation in Fe-C-Mn Steels Using a 3D Model Under a Mixed-Mode Interface Condition

Fang

Mecozzi

Brück

et al. 2017

Metall Mater Trans A

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A 3D model has been developed to predict the average ferrite grain size and grain size distribution for an austenite-to-ferrite phase transformation during continuous cooling of an Fe-C-Mn steel. Using a Voronoi construction to represent the austenite grains, the ferrite is assumed to nucleate at the grain corners and to grow as spheres. Classical nucleation theory is used to estimate the density of ferrite nuclei. By assuming a negligible partition of manganese, the moving ferrite-austenite interface is treated with a mixed-mode model in which the soft impingement of the carbon diffusion fields is considered. The ferrite volume fraction, the average ferrite grain size, and the ferrite grain size distribution are derived as a function of temperature. The results of the present model are compared with those of a published phase-field model simulating the ferritic microstructure evolution during linear cooling of an Fe-0.10C-0.49Mn (wt pct) steel. It turns out that the present model can adequately reproduce the phase-field modeling results as well as the experimental dilatometry data. The model presented here provides a versatile tool to analyze the evolution of the ferrite grain size distribution at low computational costs.

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Modeling of soft impingement effect during solid-state partitioning phase transformations in binary alloys

Cited by 47 publications

References 20 publications

A Microstructure Evolution Model for Intercritical Annealing of a Low-carbon Dual-phase Steel

A Microstructure Evolution Model for Intercritical Annealing of a Low-carbon Dual-phase Steel

Simulation of the growth of austenite during continuous heating in low carbon iron alloys

Analysis of the Grain Size Evolution for Ferrite Formation in Fe-C-Mn Steels Using a 3D Model Under a Mixed-Mode Interface Condition

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