|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Integrative Materials Design III: Performance and Sustainability
||Probabilistic Prediction of Effect of Stress Ratio and Notches on Minimum Fatigue Life of Ti-6Al-4V
||Reji John, Sushant K. Jha, Patrick J. Golden, William John Porter, Dennis Buchanan, James M. Larsen
|On-Site Speaker (Planned)
Mechanism-based probabilistic minimum life fatigue models have been demonstrated under conventional loading conditions, typically on smooth specimens loaded under stress ratio (R) close to 0.0. These approaches are based on the integration of early damage initiation from life-limiting microstructural features and microstructural-scale (small) crack growth. Application of this methodology to component level fatigue life predictions at critical locations requires the validation of the method under realistic loading conditions. Hence, in this project, we studied the application of the mechanism-based probabilistic minimum fatigue life prediction approach to a wide range of R and notches with different stress concentration factors (Kt) in Ti-6Al-4V with duplex microstructure. The presentation will discuss the effect of R on small crack growth, effects of R and Kt on fatigue variability, and the use of these data to assess the efficacy of the probabilistic predictions of the limiting fatigue life under simulated service conditions.
||Planned: Supplemental Proceedings volume