Statistical modeling for prediction of CCT diagrams of steels involving interaction of alloying elements

Martin, Henry; Amoako-Yirenkyi, Peter; Pohjonen, Aarne; Frempong, Nana K.; Kömi, Jukka; Somani, Mahesh (2020-11-04)
 
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https://doi.org/10.1007/s11663-020-01991-w

Martin, Henry
Amoako-Yirenkyi, Peter
Pohjonen, Aarne
Frempong, Nana K.
Kömi, Jukka
Somani, Mahesh
Springer Nature
04.11.2020

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

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© 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.
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doi:https://doi.org/10.1007/s11663-020-01991-w
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https://urn.fi/URN:NBN:fi-fe2022020217397
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Abstract

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.

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