Modeling the ductile-brittle transition behavior in thermomechanically controlled rolled steels

S. J. Wu*, C. L. Davis, A. Shterenlikht, I. C. Howard

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

14 Citations (Scopus)


The Charpy impact transition temperature (ITT) is well modeled for hot-rolled or normalized steels having uniform grain size using empirical equations. However, the ITT of nonhomogeneous steel microstructures, such as duplex (mixed fine and coarse) grain sizes, and the scatter in experimental Charpy energy values, observed in the transition region, are not accurately modeled. This article describes research on the microstructure-fracture property relationship and the prediction of the ITT using a cellular automata finite element (CAFE) model in thermomechanically controlled rolled (TMCR) Nb-microalloyed steels. The ferrite grain size distributions for two TMCR steel plates were analyzed and used for the prediction of the local fracture stress (σF) values based upon the Griffith model. It was found that the coarse grain size distribution could be used to predict the range of σF values observed. The CAFE model was used to predict the ITT using the predicted σF distribution for a TMCR steel. Results showed that the CAFE model realistically predicted the Charpy ITT: in particular, it was able to reproduce the scatter in values in the transition region. Within the model, the percentage of brittle failure and the upper shelf ductile energy were predicted well. However, the lower shelf brittle energy was overestimated due to computational limitations in the commercial FE software used with the current CAFE model.

Original languageEnglish
Pages (from-to)989-997
Number of pages9
JournalMetallurgical and Materials Transactions A: Physical Metallurgy and Materials Science
Issue number4
Publication statusPublished - 1 Jan 2005


Dive into the research topics of 'Modeling the ductile-brittle transition behavior in thermomechanically controlled rolled steels'. Together they form a unique fingerprint.

Cite this