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Li, Jianli
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document
3D characterization of material compositions with data-constrained modelling and quantitative X-ray CT
Abstract
The properties of materials, including 3D-printed metals, are related to their internal microstructures and interfacial structures between different phases. X-ray CT has been widely used for non-destructive 3D microstructure characterization. However, mainstream image analysis techniques have limitations in resolving microscopic spatial features and material phases that are smaller than 10-3 times the sample size. This limitation is particularly significant near interfaces between different material phases, where the fine spatial structures manifest as partial volumes of multiple material phases in X-ray CT voxels. By integrating statistical physics and quantitative X-ray CT imaging, the data-constrained modelling (DCM) approach has been able to overcome these limitations. Cases with plasma-sprayed coating and 3D-printed SS316L samples will be used to demonstrate the concept. DCM has also found applications in several other disciplines including metal additive manufacturing, corrosion protection, metal extraction from minerals, and microstructure characterization for unconventional oil and gas reservoir rocks, coal and soil clay.