4.7 Article

A multi-barrier model assisted CAFE method for predicting ductile-to-brittle transition with application to a low-carbon ultrahigh-strength steel

Journal

MECHANICS OF MATERIALS
Volume 153, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.mechmat.2020.103669

Keywords

Multi-barrier model; Cellular automata finite element (CAFE); Ductile-to-brittle transition (DBT); Cleavage facet size (CFS); Effective surface energy; Low-carbon ultrahigh-strength steel

Funding

  1. Research Council of Norway
  2. Petromaks 2 Programme [228513/E30]
  3. National Natural Science Foundation of China [51404294]
  4. Academy of Finland [311934]

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In this study, a methodology combining cellular automata finite element method and multi-barrier microcrack propagation models is presented to advance the prediction of ductile-to-brittle transition in steels. The methodology takes into account the probabilistic nature of microstructures, estimates the effective surface energy for microcrack propagation, and requires key statistical distributions of the given microstructures for accurate prediction.
The conventional micromechanical approaches today are still not able to properly predict the ductile-to-brittle transition (DBT) of steels because of their inability to consider the co-operating ductile fracture and cleavage mechanisms in the transition region, and simultaneously to incorporate the inherent complexity of microstructures. In this study, a complete methodology with coupled cellular automata finite element method (CAFE) and multi-barrier microcrack propagation models is presented to advance the prediction of DBT. The methodology contains three key elements: (i) a multiscale CAFE modelling approach to realize the competition between ductile damage and cleavage fracture and embrace the probabilistic nature of microstructures, (ii) a continuum approach to estimate the effective surface energy for a microcrack to penetrate over particle/matrix interface, and (iii) a method to calculate the effective surface energy for the microcrack to propagate across grain boundaries. The prediction of DBT therefore needs only (1) the stress-strain curves tested at different temperatures, (2) the activation energy for DBT, (3) the ratio between the size of cleavage facets and cleavage-initiating defects, and (4) key statistical distributions of the given microstructures. The proposed methodology can accurately reproduce the experimental DBT curve of a low-carbon ultrahigh-strength steel.

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