About this Abstract |
Meeting |
MS&T21: Materials Science & Technology
|
Symposium
|
Integration between Modeling and Experiments for Crystalline Metals: From Atomistic to Macroscopic Scales III
|
Presentation Title |
Lab-based Diffraction Contrast Tomography: Achieving Large Volume Grain Statistics for Full Field Modeling of Polycrystalline Materials |
Author(s) |
Jun Sun, Jette Oddershede, Florian Bachmann, Hrishikesh Bale, William Harris, Erik Lauridsen |
On-Site Speaker (Planned) |
William Harris |
Abstract Scope |
Computational modeling of polycrystalline materials on the mesoscopic scale is a powerful tool to examine, interpret, as well as predict the dynamic behaviors of polycrystalline materials. Compared to synthetic grain structure, a full field experimentally acquired 3D grain map has an unprecedented advantage as it represents the inherent materials anisotropy, such as texture and abnormal grain size distribution that can be challenging to synthetize through simulation. Lab-based diffraction contrast tomography (LabDCT), with the recent advancements in data acquisition approaches, allows recording and reconstructing of large representative volumes seamlessly. We will present different acquisition strategies with emphasis on how to approach a given acquisition problem inherent to the sample and provide examples of how such experimental data can be used for either validation or as input for simulation. Moreover, with its nondestructive nature, LabDCT enables time resolved studies of the response of the materials when exposed to various external stimuli. |