|About this Abstract
||2022 TMS Annual Meeting & Exhibition
||Advanced Characterization Techniques for Quantifying and Modeling Deformation
||Exploring Nanoscale Fatigue through Coupled In-situ Microscopy and Modeling
||Khalid Hattar, Christopher M. Barr, Ta Duong, Daniel C. Bufford, Abhilash Molkeri, Nathan M. Heckman, David P. Adams, Ankit Srivastava, Michael J. Demkowicz, Brad L. Boyce
|On-Site Speaker (Planned)
Coupling in-situ experiments with predictive modeling permits the ability to gain synergistic insight beyond that which is possible by either alone. Recent advancements in Automated Crystal Orientation Mapping (ACOM) and quantitative in-situ transmission electron microscopy (TEM) techniques provide increased capability to directly couple the experimental results to both molecular dynamic simulations and meso-scale modeling. This presentation demonstrates the recent experimental and modeling approach to fully understand the response of high purity nanocrystalline metals to in-situ TEM high-cycle fatigue. In addition to the typical refinement and validation loop between modeling and experiments, this work utilized digital twin systems created from the experimental ACOM data with slight alterations in the stacking fault energy, grain boundary relationships, and crack parameters to elucidate the factors governing the observed crack healing mechanisms observed during the in-situ fatigue experiments. SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525.
||Mechanical Properties, Characterization, Modeling and Simulation