Abstract
AbstractThe rapidly improving temporal resolution of X-ray computed tomography (CT) imaging methods makes it ever easier to do in-situ, time-resolved (4D) experiments. This work describes a method of segmenting 4D X-ray CT data that works well for extracting information on the interfacial properties, such as interfacial curvature and velocity. As an example of this method, a segmentation is performed on data from an isothermal coarsening experiment of an Al-Cu solid/liquid mixture.
Highlights
The key characteristic of a 4D experiment is having an in-situ measurement method in which the duration of each scan is on the same timescale or faster than the evolution of the sample
A low-pass filter is typically applied to the projection data before back projecting to reduce the noise in the tomograms; we find that it is a better tradeoff to skip the low-pass filter to make the interfaces as sharp as possible and remove the noise in the segmentation method
Registration is still an important step in the analysis of 4D computed tomography (CT) data because the sample rotates through 180° during the CT scan and when it is done, it must return to the initial position
Summary
The key characteristic of a 4D experiment is having an in-situ measurement method in which the duration of each scan is on the same timescale or faster than the evolution of the sample. The recent review article by Rowenhorst [2] covers upwards of a dozen of these recent 4D studies and the review articles by Stock [3] and Landis [4] cover X-ray CT in great detail. These articles contain many examples in which either 3D or 4D characterization of microstructures has provided valuable information and how these can be used to validate microstructural evolution simulations that are being use in materials-by-design methods. Segmentation methods like the one that is presented here are necessary to produce the accurate data that is required for these comparisons
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