2014
DOI: 10.1007/s11837-014-0919-x
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Multiscale Modeling of Phase Transformations in Steels

Abstract: Multiscale modeling tools have great potential to aid the development of new steels and processing routes. Currently, industrial process models are at least in part based on empirical material parameters to describe microstructure evolution and the resulting material properties. Modeling across different length and time scales is a promising approach to develop next-generation process models with enhanced predictive capabilities for the role of alloying elements. The status and challenges of this multiscale mo… Show more

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Cited by 13 publications
(4 citation statements)
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“…Many models have been proposed to incorporate the effect of various parameters on the rate of interface migration during ferrous phase transformations, as nicely summarized in a comprehensive review paper (Gouné et al, 2015). In such models, the phase transformation is modeled by reducing the actual interface to a mathematical surface characterized with multiple variables and parameters such as the interface thickness (Svoboda et al, 2011), trans-interface diffusivity (Gamsjäger & Rettenmayr, 2015), interface energy (Militzer et al, 2014) and crystallographic orientation relationship (OR) between two crystals in contact (Ecob & Ralph, 1981). Yet, all these models explicitly or implicitly assume that the local interface movement is the same for each interface and does not vary along a particular interface, except near triple lines and quadrupole points.…”
Section: Introductionmentioning
confidence: 99%
“…Many models have been proposed to incorporate the effect of various parameters on the rate of interface migration during ferrous phase transformations, as nicely summarized in a comprehensive review paper (Gouné et al, 2015). In such models, the phase transformation is modeled by reducing the actual interface to a mathematical surface characterized with multiple variables and parameters such as the interface thickness (Svoboda et al, 2011), trans-interface diffusivity (Gamsjäger & Rettenmayr, 2015), interface energy (Militzer et al, 2014) and crystallographic orientation relationship (OR) between two crystals in contact (Ecob & Ralph, 1981). Yet, all these models explicitly or implicitly assume that the local interface movement is the same for each interface and does not vary along a particular interface, except near triple lines and quadrupole points.…”
Section: Introductionmentioning
confidence: 99%
“…Only three theoretical values show larger difference than the above mentioned interval (i.e. ±34 kJ mol −1 ): those for segregation of silicon[14], aluminum[11] and molybdenum[20] at specific grain boundaries of α-iron. However, in all these cases no interaction is referred in literature.…”
mentioning
confidence: 65%
“…原子尺度模拟元素偏聚与界面的交互作用可获 得许多介观尺度模型难以捕捉且反常理的物理现象, 所用的模拟手段涵盖第一性原理计算(DFT) 、分子 动力学(MD) 、动力学蒙特卡洛(kMC)等 [89] .…”
Section: 原子尺度模拟unclassified