About this Abstract |
Meeting |
6th International Congress on 3D Materials Science (3DMS 2022)
|
Symposium
|
6th International Congress on 3D Materials Science (3DMS 2022)
|
Presentation Title |
Laboratory X-ray Diffraction Contrast Tomography-improved Grain Mapping by Reconstruction with Magnified Diffraction Spots |
Author(s) |
Haixing Fang, Adam Lindkvist, Dorte Juul Jensen, Yubin Zhang |
On-Site Speaker (Planned) |
Haixing Fang |
Abstract Scope |
Although laboratory X-ray diffraction contrast tomography (LabDCT) is a very powerful technique for probing grain sizes, shapes and orientations in bulk samples, the method is currently limited to detecting relatively large grains (>20 μm) and the reconstruction of grain shapes is sometimes also unsatisfactory, especially for small grains. In the present work, we have investigated the possibility of improving grain reconstructions by moving the detector further away from the Laue focusing condition to obtain a geometrical magnification of diffraction spots. The magnification of diffraction spots is found to be an efficient way to improve both the detection limit and the accuracy in shape reconstruction. This is verified by comparisons between virtually rendered and reconstructed grain structures using a forward simulation approach. The improvements of spot magnification are also illustrated by mapping grains in a pure iron sample. Finally, the potential of using Machine Learning algorithms for detecting spots is discussed. |
Proceedings Inclusion? |
Definite: Other |