Prediction of the yield strength of a secondary-hardening steel

J. S. Wang, M. D. Mulholland, G. B. Olson, D. N. Seidman*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

69 Scopus citations


Based on detailed three-dimensional (3-D) local-electrode atom-probe (LEAP) tomographic measurements of the properties of Cu and M2C precipitates, the yield strength of a high-toughness secondary-hardening steel, BA160, as a function of aging time is predicted using a newly developed 3-D yield strength model. Contributions from each strengthening constituent are evaluated with the model, and superposition laws are applied to add each contribution. Prediction of the yield strength based entirely on 3-D microstructural information is thus achieved. The accuracy of the prediction depends on the superposition laws and the LEAP tomographic measurements, especially the mean radius and volume fraction of M2C precipitates.

Original languageEnglish (US)
Pages (from-to)4939-4952
Number of pages14
JournalActa Materialia
Issue number13
StatePublished - Aug 2013


  • Atom-probe tomography
  • Precipitation strengthening
  • Steel
  • Strength modeling

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Ceramics and Composites
  • Polymers and Plastics
  • Metals and Alloys


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