| Abstract Scope |
Eaton envisions a future where highly differentiated and personalized products will be designed rapidly and entirely by computers through the unification of multiscale materials design & materials informatics, multi-physics engineering simulation & reduced order modeling, artificial intelligence-driven design & process automation, generative design, and additive manufacturing. In support of this vision, fatigue characterization of novel materials in the nanometer length scale, where the mechanics that control product life is highly stochastic, is needed. This study investigates the characteristics of the deformation and damage events at the nanometer scale during ultrasonic fatigue (very high-cycle fatigue, frequency of 20 kHz) on graded metallic specimens with a non-uniform distribution of defects fabricated via parameter changes during laser powder bed fusion (LPBF). Deformation and damage events are quantified using large-scale, high-resolution digital image correlation measurements during ultrasonic fatigue to rapidly extract the consequence of printing parameters on fatigue strength. |