KEYWORDS: X-rays, Data modeling, Electron beams, Strontium, Signal attenuation, Corrosion, Tomography, Scanning electron microscopy, 3D modeling, Titanium dioxide
Conventional X-ray CT is not usually sufficient to determine microscopic compositional distributions. A dataconstrained
microstructure modeling (DCM) methodology has been developed which uses multiple CT data sets
acquired with different X-ray spectra, and incorporates them as model constraints. The DCM approach has been applied
to predict the distributions of corrosion inhibitor and filler in a polymer matrix. The DCM-predicted compositional
microstructures have a reasonable agreement with EDX images taken on the sample surface.
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