2008
DOI: 10.4028/www.scientific.net/amr.32.267
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A Data-Constrained 3D Model for Material Compositional Microstructures

Abstract: A mathematical model has been developed for predicting material compositional microstructures using measured data as constraints. Examples of measured data include 3-D sets of tomography data, 2-D sets of compositional data on surfaces and sections, and material absorption and interaction properties. The model has been partially implemented as a MS-Windows application. Reasonable agreement has been obtained between the numerical predictions from the software and the simulated data. The predicted microstructure… Show more

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Cited by 17 publications
(14 citation statements)
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“…After alignment, 2 CT reconstruction images with size 600×600×700 at 25 keV and 35 keV were used for multi-energy least square segmentation. The objective function (5) is solved under the conditions (4) and (6), which is calculated by the Data-Constrained-Modelling (DCM) software [8,9]. The software can be downloaded from the website http://research.csiro.au/dcm.…”
Section: Experiments Results and Analysismentioning
confidence: 99%
“…After alignment, 2 CT reconstruction images with size 600×600×700 at 25 keV and 35 keV were used for multi-energy least square segmentation. The objective function (5) is solved under the conditions (4) and (6), which is calculated by the Data-Constrained-Modelling (DCM) software [8,9]. The software can be downloaded from the website http://research.csiro.au/dcm.…”
Section: Experiments Results and Analysismentioning
confidence: 99%
“…Previously, data-constrained modelling (DCM) approaches have been applied in conjunction with synchrotron-based X-ray CT to quantitatively characterize material compositions distributions in samples and hydrocarbon reservoir characterizations (Yang et al, 2007(Yang et al, , 2008(Yang et al, , 2010a(Yang et al, , 2010b(Yang et al, , 2013Mayo et al, 2012;Trinchi et al, 2012). The DCM software is available at http://www.ict.csiro.au/downloads.php?swid=24.…”
Section: Introductionmentioning
confidence: 99%
“…However, as different compositions of materials may exhibit similar X-ray absorption and refraction characteristics, it is often inadequate to resolve material compositions. A data-constrained modelling (DCM) methodology has been developed for characterising compositional microstructures using two or more CT datasets acquired with different X-ray spectra and incorporates them as model constraints [12][13][14]. For instance, the effect of nano-porous regions or partially occupied voxels can be identified.…”
Section: Introductionmentioning
confidence: 99%