| About this Abstract |
| Meeting |
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
| Symposium
|
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
| Presentation Title |
Large Volume Grain Statistics with Laboratory Diffraction Contrast Tomography |
| Author(s) |
Erik M. Lauridsen, Jette Oddershede, Jun Sun, Hrishikesh Bale, Florian Bachmann |
| On-Site Speaker (Planned) |
Erik M. Lauridsen |
| Abstract Scope |
Integrated microstructural modeling approaches, ensuring the handshake between modeling and experimentation, relies on adequate experimental statistics. Furthermore, recent improvements in computing power and characterization techniques have opened up new possibilities in 4D analysis, beyond established 2D microstructural methods. Here we present the latest innovations in laboratory X-ray diffraction contrast tomography (LabDCT) which allow for recording and reconstructing of very large representative volumes seamlessly. The LabDCT technique can produce 3D grain maps containing more than 10.000 grains in less than a day. We will present and discuss 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 volumes for simulation. Moreover, with its nondestructive nature, LabDCT enables time resolved studies of the response of the materials when exposed to external stimuli such as e.g. thermo-mechanical processing. |
| Proceedings Inclusion? |
Definite: Other |