Experimental ultra fast X-ray computed tomography with a linearly scanned electron beam source

Hampel, Uwe; Speck, M.; Koch, David; Menz, H.-J.; Mayer, H.‐G.; Fietz, J.; Hoppe, Dietrich; Schleicher, Eckhard; Zippe, C.; Prasser, H.-M.

doi:10.1016/j.flowmeasinst.2005.02.002

Cited by 55 publications

(32 citation statements)

References 7 publications

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“…In the device demonstrated in Ref. 60, the electron beam is scanned on a linear target. Acquisition is only partial and iterative algebraic reconstruction techniques (ART) are used for the reconstruction.…”

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confidence: 99%

Quantitative X-ray tomography

Maire¹,

Withers²

2013

International Materials Reviews

1,086

601

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X-ray computer tomography (CT) is fast becoming an accepted tool within the materials science community for the acquisition of 3D images. Here the authors review the current state of the art as CT transforms from a qualitative diagnostic tool to a quantitative one. Our review considers first the image acquisition process, including the use of iterative reconstruction strategies suited to specific segmentation tasks and emerging methods that provide more insight (e.g. fast and high resolution imaging, crystallite (grain) imaging) than conventional attenuation based tomography. Methods and shortcomings of CT are examined for the quantification of 3D volumetric data to extract key topological parameters such as phase fractions, phase contiguity, and damage levels as well as density variations. As a non-destructive technique, CT is an ideal means of following structural development over time via time lapse sequences of 3D images (sometimes called 3D movies or 4D imaging). This includes information needed to optimise manufacturing processes, for example sintering or solidification, or to highlight the proclivity of specific degradation processes under service conditions, such as intergranular corrosion or fatigue crack growth. Besides the repeated application of static 3D image quantification to track such changes, digital volume correlation (DVC) and particle tracking (PT) methods are enabling the mapping of deformation in 3D over time. Finally the use of CT images is considered as the starting point for numerical modelling based on realistic microstructures, for example to predict flow through porous materials, the crystalline deformation of polycrystalline aggregates or the mechanical properties of composite materials.

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mentioning

confidence: 99%

Quantitative X-ray tomography

Maire¹,

Withers²

2013

International Materials Reviews

1,086

601

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“…Our own develoment [28] uses, contrary to the design in Fig. 25, a linear deflection pattern for the electron beam and a nonannular detector arc records transmission data of an object from different projection angles.…”

Section: X-ray Tomographymentioning

confidence: 99%

Novel experimental measuring techniques required to provide data for CFD validation

Prasser

2008

Nuclear Engineering and Design

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“…Both spatial and temporal resolution of these systems have improved in recent years. Today, the flow within different fluidized beds can be visualized with high spatial resolution, as shown by Hampel et al (2005), Bieberle et al (2007), Fischer et al (2008), and Verma et al (2014). Another measurement technique suitable to visualize the flow within fluidized beds is the magnetic resonance imaging (MRI) technique Müller et al (2006), Rees et al (2006), Holland et al (2008), Müller et al (2010), and Walker et al (2014).…”

Section: Introductionmentioning

confidence: 99%