Multiresolution mechanical characterization of Ti alloys using spherical indentation stress-strain protocols and Bayesian inference of single crystal elastic-plastic properties

Abstract

The central objective of the proposed work is to develop and demonstrate novel protocols forestablishing, with quantified levels of uncertainty, some of the most important crystal levelelastic-plastic model forms and properties for a range of ??? Ti alloys at different materiallength/structure scales. Additionally, we will establish the functional dependence of theseproperties on the relevant quantitative measures of microstructure at each scale (e.g., chemicalcomposition, lath thickness and spacing, colony size, and prior ? grain size). The crystal levelelastic-plastic model forms and parameters targeted in this study include (i) the elastic responseof various microscale constituents found in Ti alloys, and (ii) the effective resistances of theactive slip modes in these complex material structures. As a demonstration of the new protocolsdeveloped in this work, we propose to measure the changes in the effective slip resistances afterthe application of cyclic loading in selected samples to produce new insights to single crystallevel cyclic softening/hardening mechanisms on individual slip systems.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 11, 2018
Source ID
FA95501810330

Entities

People

  • Surya R. Kalidindi

Organizations

  • Air Force Office of Scientific Research
  • Georgia Tech Research Corporation
  • United States Air Force

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Nanocomposite Materials Science
  • Powder metallurgy of Titanium alloys.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space