Martin, H., Amoako-Yirenkyi, P., Pohjonen, A. et al. Statistical Modeling for Prediction of CCT Diagrams of Steels Involving Interaction of Alloying Elements. Metall Mater Trans B 52, 223–235 (2021). https://doi.org/10.1007/s11663-020-01991-w
Statistical modeling for prediction of CCT diagrams of steels involving interaction of alloying elements
|Author:||Martin, Henry1,2; Amoako-Yirenkyi, Peter1,3; Pohjonen, Aarne4;|
1Center for Scientific and Technical Computing, National Institute for Mathematical Sciences, Kumasi, Ghana
2Department of Physics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
3Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
4Materials and Production Technology, University of Oulu, Pentti Kaiteran katu 1, 90014, Oulu, Finland
5Department of Statistics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022020217397
|Publish Date:|| 2022-02-02
The interaction of different alloying elements has a significant impact on the mechanical and microstructural properties of steel products due to the thermodynamic and kinetic effect. This article presents a statistically developed and validated model for austenite decomposition during cooling, based on a set of experimental continuous cooling transformation diagrams available in literature. In the model, two-way interactions of the alloying elements are included as add-on terms, and the procedure for the analysis ensures there is no overfitting. The model can be used to predict phase transformation temperatures and critical cooling rates for the formation of polygonal ferrite, bainite or martensite for the production of steel.
Metallurgical and materials transactions. B, Process metallurgy and materials processing science
|Pages:||223 - 235|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
216 Materials engineering
The University of Oulu under the research activity Genome of Steel project by the Academy of Finland.
© The Minerals, Metals & Materials Society and ASM International 2020. This is a post-peer-review, pre-copyedit version of an article published in Metall Mater Trans B. The final authenticated version is available online at https://doi.org/10.1007/s11663-020-01991-w.