Microstructure-Based Estimation of Strength and Ductility Distributions for α+ β Titanium Alloys

McLean L.P. Echlin, Matthew Kasemer, Kamalika Chatterjee, Donald Boyce, Jean Charles Stinville, Patrick G. Callahan, Euan Wielewski, Jun Sang Park, James C. Williams, Robert M. Suter, Tresa M. Pollock, Matthew P. Miller, Paul R. Dawson

Research output: Contribution to journalArticlepeer-review


Titanium alloys are processed to develop a wide range of microstructure configurations and therefore material properties. While these properties are typically measured experimentally, a framework for property prediction could greatly enhance alloy design and manufacturing. Here a microstructure-sensitive framework is presented for the prediction of strength and ductility as well as estimates of the bounds in variability for these properties. The framework explicitly considers distributions of microstructure via new approaches for instantiation of structure in synthetic samples. The parametric evaluation strategy, including the finite element simulation package FEpX, is used to create and test virtual polycrystalline samples to evaluate the variability bounds of mechanical properties in Ti-6Al-4V. Critical parameters for the property evaluation framework are provided by measurements of single crystal properties and advanced characterization of microstructure and slip system strengths in 2D and 3D. Property distributions for yield strength and ductility are presented, along with the validation and verification steps undertaken. Comparisons between strain localization and slip activity in virtual samples and in experimental grain-scale strain measurements are also discussed.

Original languageEnglish (US)
Pages (from-to)2411-2434
Number of pages24
JournalMetallurgical and Materials Transactions A: Physical Metallurgy and Materials Science
Issue number6
StatePublished - Jun 2021
Externally publishedYes

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanics of Materials
  • Metals and Alloys


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