Towards the development of a physics-based thermo-mechanical fatigue life prediction model for a single crystalline Ni-base superalloy

Robert L. Amaro, Stephen D. Antolovich, Richard W. Neu, Benjamin S. Adair, Michael R. Hirsch, Patxi Fernandez-Zelaia, Matthew O'Rourke, Alexander Staroselsky

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

A long term effort has been underway to develop a mechanism-based model for life prediction under thermo-mechanical fatigue (TMF) cycling. A model has been developed which is based upon the impingement of slip bands upon oxidized regions and subsequent initiation of a crack due to stress concentration. The concept of an effective cycle temperature, Teff, and the dynamic nature of the material are critical components of the model and result in the ability to produce very accurate life predictions. It has also been shown that the model is capable of addressing complexities such as imposed high cycle fatigue (HCF) while still producing excellent agreement with the experiment. However, given the fact that this material is used for jet engine turbine blades and that such blades have cooling holes which act as notches, the next step in the development of this model is to incorporate it into a notched environment. The principal features of the TMF model are reviewed and a strategy for full integration into notched fatigue life prediction is discussed. Recent experimental results are presented which are based upon simulating smooth bar conditions at the notch root and a first approach to numerical simulation (called Q fit) is presented. Suggestions for further research are discussed.

Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalMaterials Performance and Characterization
Volume3
Issue number2
DOIs
StatePublished - May 14 2014
Externally publishedYes

Keywords

  • Life prediction
  • Ni-base superalloys
  • Notches
  • Thermo-mechanical fatigue

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