JV Bernier, NR Barton, U Lienert… - The Journal of Strain …, 2011 - journals.sagepub.com
The far-field high-energy diffraction microscopy technique is presented in the context of high- energy synchrotron x-ray diffraction. For each grain in an illuminated polycrystalline volume …
W Ludwig, P Reischig, A King, M Herbig… - Review of scientific …, 2009 - pubs.aip.org
X-ray diffraction contrast tomography (DCT) is a technique for mapping grain shape and orientation in plastically undeformed polycrystals. In this paper, we describe a modified DCT …
Most metals, ceramics, semiconductors and rocks are composed of small crystals known as grains. When annealed, this polycrystalline structure coarsens, thus allowing the properties …
HF Poulsen - Journal of Applied Crystallography, 2012 - journals.iucr.org
Three-dimensional X-ray diffraction microscopy is a fast and nondestructive structural characterization technique aimed at studies of the individual crystalline elements (grains or …
W Ludwig, A King, P Reischig, M Herbig… - Materials Science and …, 2009 - Elsevier
Non-destructive, three-dimensional (3D) characterization of the grain structure in mono- phase polycrystalline materials is an open challenge in material science. Recent advances …
SF Li, RM Suter - Journal of Applied Crystallography, 2013 - journals.iucr.org
An adaptive orientation reconstruction algorithm is developed for near-field high-energy X- ray diffraction microscopy. When combined with a spatially adaptive extension the algorithm …
The ability to characterise crystallographic microstructure, non-destructively and in three- dimensions, is a powerful tool for understanding many aspects related to damage and …
P Reischig, A King, L Nervo, N Viganó… - Journal of Applied …, 2013 - journals.iucr.org
Diffraction contrast tomography is a near-field diffraction-based imaging technique that provides high-resolution grain maps of polycrystalline materials simultaneously with the …
O Furat, M Wang, M Neumann, L Petrich… - Frontiers in …, 2019 - frontiersin.org
In this paper, various kinds of applications are presented, in which tomographic image data depicting microstructures of materials are semantically segmented by combining machine …