Shu, Q., Visuri, VV., Alatarvas, T. et al. Model for Inclusion Precipitation Kinetics During Solidification of Steel Applications in MnS and TiN Inclusions. Metall Mater Trans B 51, 2905–2916 (2020). https://doi.org/10.1007/s11663-020-01955-0
Model for inclusion precipitation kinetics during solidification of steel applications in MnS and TiN inclusions
|Author:||Shu, Qifeng1; Visuri, Ville-Valtteri1; Alatarvas, Tuomas1;|
1Process Metallurgy Research Unit, University of Oulu, 90014, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202101192164
|Publish Date:|| 2021-01-19
A simulation model for inclusion precipitation kinetics during solidification of steel was proposed in this work. With the aim to calculate the inclusion size distribution during solidification of steel, the microsegregation calculation combined with the Kampmann–Wagner numerical (KWN) model for nucleation and growth of inclusion was incorporated into the present simulation model for calculating the evolution of inclusion size distribution during solidification of steel. The inclusion agglomeration due to Brownian collisions was also taken into account. The present simulation model was first applied in simulating precipitation of MnS during steel solidification and validated by the experimental data available in the literature. The effects of cooling rates and sulfur concentrations on the precipitation of MnS were investigated by the model calculations. Then, the present simulation model was applied in simulating the precipitation of TiN inclusions during steel solidification. The calculated mean size was found to be in good agreement with data available in the literature. Finally, the model was employed for studying the effects of interfacial tension between TiN and steel due to sulfur concentration change and cooling rates on the inclusion precipitation kinetics. It was found that interfacial tension between TiN and steel has a crucial influence on the precipitation of TiN. With an increase of the cooling rate, the size distribution of TiN transforms from the lognormal distribution to the bimodal distribution.
Metallurgical and materials transactions. B, Process metallurgy and materials processing science
|Pages:||2905 - 2916|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
215 Chemical engineering
The financial support from the Academy of Finland for Genome of Steel (Grant No. 311934) is gratefully acknowledged. Open access funding provided by University of Oulu including Oulu University Hospital.
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