University of Oulu

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

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Author: Martin, Henry1,2; Amoako-Yirenkyi, Peter1,3; Pohjonen, Aarne4;
Organizations: 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
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022020217397
Language: English
Published: Springer Nature, 2021
Publish Date: 2022-02-02
Description:

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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Series: Metallurgical and materials transactions. B, Process metallurgy and materials processing science
ISSN: 1073-5615
ISSN-E: 1543-1916
ISSN-L: 1073-5615
Volume: 52
Pages: 223 - 235
DOI: 10.1007/s11663-020-01991-w
OADOI: https://oadoi.org/10.1007/s11663-020-01991-w
Type of Publication: A1 Journal article – refereed
Field of Science: 216 Materials engineering
Subjects:
Funding: The University of Oulu under the research activity Genome of Steel project by the Academy of Finland.
Copyright information: © 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.