2017
DOI: 10.1080/03019233.2017.1405178
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Simulation of austenite decomposition in continuous cooling conditions: a cellular automata-finite element modelling

Abstract: Transformation of austenite to ferrite under continuous cooling condition was investigated. The heat conduction problem was managed by finite element method while two-dimensional cellular automata modeling was simultaneously performed to predict the progress of austenite decomposition using a two-step algorithm to reduce surface-to-volume ratio. Continuous cooling experiments on low carbon steel were made and the ferrite structure was determined and compared with the simulation data. The predicted and the expe… Show more

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Cited by 11 publications
(3 citation statements)
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“…The results show that the cooling conditions have a significant effect on the austenite decomposition rate. [ 27 ]…”
Section: Resultsmentioning
confidence: 99%
“…The results show that the cooling conditions have a significant effect on the austenite decomposition rate. [ 27 ]…”
Section: Resultsmentioning
confidence: 99%
“…Accordingly, the embryos are placed randomly in different positions, while certain positions were given higher probability for nucleation, e.g., four and three junctions have the highest probability. However, when the stored energy is high, homogenous nucleation mechanism might also be activated and in-grain stable embryos could be formed [24,25]. In the other words, heterogeneous…”
Section: Thermal Modeling and Microstructural Simulationmentioning
confidence: 99%
“…The applications of this approach in the steel-and iron-related fields have focused almost exclusively on modeling the solidification structure in continuous casting or cooling, [25][26][27][28][29] the recrystallization structure after heat treatment or hot working, [30][31][32][33][34][35][36] and corrosion. [37,38] To date and to the authors' knowledge, only two studies, both conducted by He et al, [39,40] have focused on the reduction of iron oxides by hydrogen alone.…”
Section: Introductionmentioning
confidence: 99%