Predicting grid-size-dependent fracture strains of DP980 with a microstructure-based post-necking model

G. Cheng, X. H. Hu, K. S. Choi, X. Sun

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Ductile fracture is a local phenomenon, and it is well established that fracture strain levels depend on both stress triaxiality and the resolution (grid size) of strain measurements. Two-dimensional plane strain post-necking models with different model sizes are used to predict the grid-size-dependent fracture strain of a commercial dual-phase steel, DP980. The models are generated from the actual microstructures, and the individual phase flow properties and literature-based individual phase damage parameters for the Johnson–Cook model are used for ferrite and martensite. A monotonic relationship is predicted: the smaller the model size, the higher the fracture strain. Thus, a general framework is developed to quantify the grid-size-dependent fracture strains for multiphase materials. In addition to the grid-size dependency, the influences of intrinsic microstructure features, i.e., the flow curve and fracture strains of the two constituent phases, on the predicted fracture strains also are examined. Application of the derived fracture strain versus model size relationship is demonstrated with large clearance trimming simulations with different element sizes.

Original languageEnglish
Pages (from-to)211-227
Number of pages17
JournalInternational Journal of Fracture
Volume207
Issue number2
DOIs
StatePublished - Oct 1 2017
Externally publishedYes

Funding

Pacific Northwest National Laboratory (PNNL) is operated by Battelle for the U.S. Department of Energy (DOE) under Contract DE-AC05-76RL01830. This work was funded by the DOE’s Vehicle Technologies Office under the Automotive Lightweight Materials Program managed by Ms. Sarah Ollila.

Keywords

  • DP980
  • Damage/fracture strain
  • Individual phase properties
  • Johnson–Cook model
  • Plane strain post-necking model
  • Size-dependency

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