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Friedrich Prade

Researcher at Technische Universität München

Publications -  8
Citations -  207

Friedrich Prade is an academic researcher from Technische Universität München. The author has contributed to research in topics: Tomography & Water transport. The author has an hindex of 7, co-authored 8 publications receiving 165 citations.

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Nondestructive characterization of fiber orientation in short fiber reinforced polymer composites with X-ray vector radiography

TL;DR: X-ray vector radiography (X-VRS) as mentioned in this paper is a method to characterize fiber orientation in short fiber reinforced polymer components, which takes advantage of X-ray scattering caused by the sample's microstructure.
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Hydrophobic Properties of Biofilm-Enriched Hybrid Mortar

TL;DR: A mortar hybrid material is presented in which biomineralization processes are stimulated by adding a biological component, i.e., bacterial biofilm, to standard mortar that not only resists wetting but also suppresses the uptake of water by capillary forces.
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Application of sensitive, high‐resolution imaging at a commercial lab‐based X‐ray micro‐CT system using propagation‐based phase retrieval

TL;DR: These high‐quality images, measured without the use of a synchrotron X‐ray source, demonstrate that highly sensitive, micrometre‐resolution imaging of 3D volumes is widely accessible using commercially advanced laboratory devices.
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Time resolved X-ray Dark-Field Tomography Revealing Water Transport in a Fresh Cement Sample.

TL;DR: The potential of X-ray dark-field imaging to be used for time-resolved three-dimensional studies on a fresh cement sample to study the hardening dynamics of the cement paste in three dimensions over time is reported on.
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Non-iterative Directional Dark-field Tomography

TL;DR: It is shown that it is possible to perform this kind of dark-field tomography with common Talbot-Lau interferometer setups by reducing the reconstruction to several smaller independent problems, which allows for the Reconstruction to be performed with commercially available software and will help pave the way for a straightforward implementation of orientation-dependent dark- field tomography.