3D reconstruction and characterization of polycrystalline microstructures using a FIB-SEM system

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A three-dimensional cohesive-frictional grain-boundary micromechanical model for intergranular degradation and failure in polycrystalline materials (2013, background): “Various experimental techniques are available for microstructural characterization [25, 26, 27, 28, 29, 71, 72, 73] and their output is sometimes used as input for finite element (FE) analysis [74, 75, 48, 49].”
DREAM.3D: A Digital Representation Environment for the Analysis of Microstructure in 3D (2014, methodology): “Many of the steps in the pipeline are also discussed in [9] and [10].”
Machine learning enabled autonomous microstructural characterization in 3D samples (2020, methodology): “…method on grain identi ﬁ cation of an IN100 Ni-based superalloy sample collected from serial-sectioning experiments. a 3D input image reconstructed from electron backscatter diffraction (EBSD) data 15 and the corresponding target grain segmentation labeled using inverse pole ﬁ gure (IPF) coloring.”
A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials (2017, methodology): “Serial sectioning techniques have been used for imaging polycrystalline metals [198], metal alloys [199], high energy ball milled metal powders [190], and fuel cells [200].”