About this Abstract |
| Meeting |
MS&T26: Materials Science & Technology
|
| Symposium
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Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
| Presentation Title |
Identifying Mechanical Drivers of Fatigue Damage in Additively Manufactured Inconel 718 Using In-Situ Synchrotron Characterization |
| Author(s) |
George R. Weber, Joshua Pribe, Saikumar Yeratapally, Diwakar Naragani, Amlan Das, Isabella Snyder, Scott Cochran, Ross Gregoriev, Kyle Rosenow, Vanessa Oklejas, Peter Spaeth, John Newman, Somnath Ghosh, Paul Shade, Edward Glaessgen |
| On-Site Speaker (Planned) |
George R. Weber |
| Abstract Scope |
The validation of grain-scale micromechanical models remains a challenging problem and is a key bottleneck to the maturation of crystal plasticity models for industrial applications. Predicting the fatigue behavior of additively manufactured (AM) components is particularly difficult because multiple process-induced features often compete as drivers of damage. This work investigates these competing contributions in a notched AM Inconel 718 specimen through in-situ, interrupted fatigue experiments at the Cornell High Energy Synchrotron Source using X-ray computed tomography and high-energy diffraction microscopy. The specimen contains microscale, AM-induced features including lack-of-fusion porosity, surface roughness, heterogeneous microstructure, and residual strain, enabling observations of multiple crack initiation and growth mechanisms during cyclic loading. Crystal plasticity simulations, using the open-source process-structure-property modeling package Materialite, are performed on the explicit 3D experimental microstructure and compared with in-situ crack observations to identify mechanical drivers for early-stage crack growth and their relative sensitivity to each microscale feature. |