Yong Li , Keming Mao , Shan Chen , Chenchong Wang , Wei Xu
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引用次数: 0
Abstract
Bainite is a crucial microstructure in steel, and its transformation kinetics plays a key role in microstructural control and property optimisation. Conventionally, bainite formation initiates at austenite grain boundaries and continues through autocatalytic nucleation at the newly formed bainitic ferrite/austenite interfaces. However, recent studies have revealed that the presence of martensite prior to the austenite-to-bainite transformation can significantly alter the transformation behaviour. In this work, within the framework of the displacive mechanism, a new isothermal kinetic model is proposed by introducing the catalytic effect of martensite/austenite interfaces to characterise the influence of pre-existing martensite on bainite transformation in high-Si steels. The model was validated through dilatometry experiments performed on two Fe-C-Mn-Si steels with different Mn contents, under both above-Ms and below-Ms temperature conditions. The results demonstrate that bainite transformation exhibits an incubation period above Ms, whereas below Ms, the pre-existing martensite markedly shortens the incubation stage and accelerates the initial transformation rate. There is a high level of agreement between the model predictions and the experimental observations, successfully capturing the key features of the transformation behaviour, including transformation rate, incubation period, final fraction, and the incomplete transformation phenomenon.
期刊介绍:
The design of industrial processes requires reliable thermodynamic data. CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry) aims to promote computational thermodynamics through development of models to represent thermodynamic properties for various phases which permit prediction of properties of multicomponent systems from those of binary and ternary subsystems, critical assessment of data and their incorporation into self-consistent databases, development of software to optimize and derive thermodynamic parameters and the development and use of databanks for calculations to improve understanding of various industrial and technological processes. This work is disseminated through the CALPHAD journal and its annual conference.