Inaccuracy compensation in X-ray computed tomography image reconstruction and XCT-based finite element models
3D characterization techniques and modeling methods provide deep insights into materials and their microstructure on all length scales. In this thesis a hybrid 3D image reconstruction approach developed to minimize the common imaging artifacts in HR-XCT to improve the image reconstruction quality. Subsequently, the reconstructed 3D data converted into finite element models to estimate mechanical properties of complex material systems.
3D characterization techniques and modeling methods provide deep insights into materials and their microstructure on all length scales. In this thesis a hybrid 3D image reconstruction approach developed to minimize the common imaging artifacts in HR-XCT to improve the image reconstruction quality. Subsequently, the reconstructed 3D data converted into finite element models to estimate mechanical properties of complex material systems.
| Autor: | Topal, Emre |
|---|---|
| ISBN: | 9783839617984 |
| Sprache: | Englisch |
| Seitenzahl: | 156 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Michaelis, Alexander |
| Verlag: | Fraunhofer Verlag |
| Veröffentlicht: | 21.03.2022 |
| Schlagworte: | 3D image reconstuction Fraunhofer IKTS Mechanical engineers X-ray computed tomography electronic devices & materials finite element analysis material scientists mechanical characterization mechanical engineer non-destructive testing |