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

被引:13
作者
Fang, H. [1 ,2 ]
Mecozzi, M. G. [3 ]
Bruck, E. [1 ]
van der Zwaag, S. [2 ]
van Dijk, N. H. [1 ]
机构
[1] Delft Univ Technol, Fac Sci Appl, Fundamental Aspects Mat & Energy Grp, Mekelweg 15, NL-2629 JB Delft, Netherlands
[2] Delft Univ Technol, Novel Aerosp Mat Grp, Fac Aerosp Engn, Kluyverweg 1, NL-2629 HS Delft, Netherlands
[3] Delft Univ Technol, Dept Mat Sci & Engn, Mekelweg 2, NL-2628 CD Delft, Netherlands
来源
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE | 2018年 / 49A卷 / 01期
关键词
PHASE-TRANSFORMATIONS; AUSTENITE DECOMPOSITION; NUCLEATION; GROWTH; MOBILITY; MICROSTRUCTURE; SIMULATIONS; KINETICS; STRAIN; CARBON;
D O I
10.1007/s11661-017-4397-y
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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. (C) The Author(s) 2017. This article is an open access publication
引用
收藏
页码:41 / 53
页数:13
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