| Abstract Scope |
The benefits of additive manufacturing have been well documented, but prior to
these materials being used in critical applications, the mechanisms for fatigue failure must be identified and the life of these materials must be determined for use in a design context. In this work, the fatigue behavior of selective laser melting IN718, 718Plus, and Ti-6Al-4V are investigated through detailed characterization and modeling efforts. Specifically, in situ loading is used to identify the strain evolution in these materials through high-energy x-ray diffraction and digital image correlation. Simulation-based predictions of material performance, including fatigue crack initiation have been developed as a means of accelerating the insertion of new materials by reducing the associated cost and time for materials development. The fatigue modeling framework is combined with uncertainty quantification, validation, and verification efforts of the model’s readiness level, in order to build trust in the predictive capabilities of the model. |