@article{GlinzŠleichrtKytyřetal.2021,
  author    = {Glinz, Jonathan and Šleichrt, Jan and Kyt{\´y}ř, Daniel and Ayalur-Karunakaran, Santhosh and Zabler, Simon and Kastner, Johann and Senck, Sascha},
  title     = {Phase-contrast and dark-field imaging for the inspection of resin-rich areas and fiber orientation in non-crimp vacuum infusion carbon-fiber-reinforced polymers},
  series = {Journal of Materials Science},
  volume    = {56},
  journal   = {Journal of Materials Science},
  number    = {16},
  doi       = {10.1007/s10853-021-05907-0},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-351581},
  pages     = {9712-9727},
  year      = {2021},
  abstract  = {In this work, we present a multimodal approach to three-dimensionally quantify and visualize fiber orientation and resin-rich areas in carbon-fiber-reinforced polymers manufactured by vacuum infusion. Three complementary image modalities were acquired by Talbot-Lau grating interferometer (TLGI) X-ray microcomputed tomography (XCT). Compared to absorption contrast (AC), TLGI-XCT provides enhanced contrast between polymer matrix and carbon fibers at lower spatial resolutions in the form of differential phase contrast (DPC) and dark-field contrast (DFC). Consequently, relatively thin layers of resin, effectively indiscernible from image noise in AC data, are distinguishable. In addition to the assessment of fiber orientation, the combination of DPC and DFC facilitates the quantification of resin-rich areas, e.g., in gaps between fiber layers or at binder yarn collimation sites. We found that resin-rich areas between fiber layers are predominantly developed in regions characterized by a pronounced curvature. In contrast, in-layer resin-rich areas are mainly caused by the collimation of fibers by binder yarn. Furthermore, void volume around two adjacent 90°-oriented fiber layers is increased by roughly 20\% compared to a random distribution over the whole specimen.},
  language  = {en}
}
@article{UllherrDiezZabler2022,
  author    = {Ullherr, Maximilian and Diez, Matthias and Zabler, Simon},
  title     = {Robust image reconstruction strategy for multiscalar holotomography},
  series = {Journal of Imaging},
  volume    = {8},
  journal   = {Journal of Imaging},
  number    = {2},
  issn      = {2313-433X},
  doi       = {10.3390/jimaging8020037},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-262112},
  year      = {2022},
  abstract  = {Holotomography is an extension of computed tomography where samples with low X-ray absorption can be investigated with higher contrast. In order to achieve this, the imaging system must yield an optical resolution of a few micrometers or less, which reduces the measurement area (field of view = FOV) to a few mm at most. If the sample size, however, exceeds the field of view (called local tomography or region of interest = ROI CT), filter problems arise during the CT reconstruction and phase retrieval in holotomography. In this paper, we will first investigate the practical impact of these filter problems and discuss approximate solutions. Secondly, we will investigate the effectiveness of a technique we call "multiscalar holotomography", where, in addition to the ROI CT, a lower resolution non-ROI CT measurement is recorded. This is used to avoid the filter problems while simultaneously reconstructing a larger part of the sample, albeit with a lower resolution in the additional area.},
  language  = {en}
}