| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Gumbsch, Peter
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Topics
Publications (31/31 displayed)
- 2024Dealing with Missing Angular Sections in NanoCT Reconstructions of Low Contrast Polymeric Samples Employing a Mechanical In Situ Loading Stage
- 2023Dealing with missing angular sections in nanoCT reconstructions of low contrast polymeric samples employing a mechanical in situ loading stage
- 2023Materials fatigue prediction using graph neural networks on microstructure representationscitations
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- 2022Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation modelscitations
- 2022A probabilistic model for forging flaw crack nucleation processes for heavy duty gas turbine rotor operationscitations
- 2022Lab-based in situ nanoCT as a tool for the 3D structural and mechanical characterization of metamaterials
- 2022Tribologically induced crystal rotation kinematics revealed by electron backscatter diffractioncitations
- 2021Towards programmable friction: control of lubrication with ionic liquid mixtures by automated electrical regulation
- 2021A deep learning approach for complex microstructure inferencecitations
- 2021Architecturing materials at mesoscale: some current trendscitations
- 2021Calibrating a fiber–matrix interface failure model to single fiber push-out tests and numerical simulationscitations
- 2020Towards programmable friction: control of lubrication with ionic liquid mixtures by automated electrical regulationcitations
- 2020Influence of interstitial oxygen on the tribology of Ti6Al4Vcitations
- 2020Repulsion leads to coupled dislocation motion and extended work hardening in bcc metalscitations
- 2018Atomic-scale simulation of structure and mechanical properties of Cu1-xAgx|Ni multilayer systemscitations
- 2016Microstructure-based description of the deformation of metals: Theory and applicationcitations
- 2016On the potential of tungsten–vanadium composites for high temperature application with wide-range thermal operation windowcitations
- 2016Multiscale Simulation of Plasticity in bcc Metalscitations
- 2016Anisotropic mechanical amorphization drives wear in diamondcitations
- 2016Dislocation injection in strontium titanate by femtosecond laser pulsescitations
- 2015Quantitative voxel-to-voxel comparison of TriBeam and DCT strontium titanate three-dimensional data setscitations
- 2015Potential-induced degradation in solar cells: Electronic structure and diffusion mechanism of sodium in stacking faults of siliconcitations
- 2015Atomistic aspects of fracturecitations
- 2013Combining x-ray diffraction contrast tomography and mesoscale grain growth simulations in strontium titanate: An integrated approach for the investigation of microstructure evolutioncitations
- 2012Interface Orientation Distribution during Grain Growth in Bulk SrTiO 3 Measured by Means of 3D X-Ray Diffraction Contrast Tomography
- 2010Atomically Smooth Stress-Corrosion Cleavage of a Hydrogen-Implanted Crystalcitations
- 2010Evolution of mechanical response and dislocation microstructures in small-scale specimens under slightly different loading conditionscitations
- 2008Atomistic Simulations of Dislocation - Crack Interactioncitations
- 2007Atomistic simulations of dislocation - Crack interactioncitations
- 2004Atomistic Study of Edge Dislocations in FCC Metals: Drag and Inertial Effectscitations
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document
Dealing with missing angular sections in nanoCT reconstructions of low contrast polymeric samples employing a mechanical in situ loading stage
Abstract
While in situ experiments are gaining importance for the (mechanical) assessment ofmetamaterials or materials with complex microstructures, imaging conditions in suchexperiments are often challenging. The lab-based computed tomography system Xradia 810 Ultra allows for the in situ (time lapsed) mechanical testing of samples. However, the in situ loading setup from this system limits the image acquisition angle to 140°. For low contrast polymeric materials, this limited acquisition angle leads to regions of low information gain, thus preventing an accurate reconstruction of the data using a filtered back projection algorithm. Here we demonstrate how the information gain can be improved by selecting an appropriate position of the sample. A low contrast polymeric tetrahedral microlattice sample and a specifically structured sample, both scanned over 140° and 180°, demonstrate that the missing structural details in the 140° reconstruction are limited to an angular wedge of about 20°. Depending on the sample geometry and structure, applying simple strategies for the in situ experiments allows accurate reconstruction of the data. For the tetrahedral microlattice, a simplerotation of the sample by 90° provides enough X-ray absorption for an accurate reconstruction of the geometry.