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Meeting 2016 TMS Annual Meeting & Exhibition
Symposium Driving Discovery: Integration of Multi-Modal Imaging and Data Analysis
Presentation Title Digital Representation of Materials Grain Structure from Four-Dimensional X-ray Microtomography Data
Author(s) , Xianghui Xiao, Peter W. Voorhees
On-Site Speaker (Planned)
Abstract Scope There are many quantitative analyses that can be performed using a three-dimensional (3-D) reconstruction of a material. For instance, the interface normal distribution (IND) describes the directionality in the microstructure; the IND is constructed by creating a stereographic projection of the surface normals. The surface normals can also be expressed in the crystallographic frame, creating a crystallographic interface normal distribution (CIND). In the CIND, the surface normals are (i) first rotated to the crystallographic coordinate system, after which (ii) symmetry operations are applied to the crystallographic normals; then, (iii) the crystallographic normals are plotted in the fundamental zone or the standard stereographic triangle for cubic symmetries. This construction allows us to investigate the evolution of crystal interface texture during the growth of crystals, using reconstructions from four-dimensional (4-D, i.e., space and time-resolved) X-ray microtomography. The characterization of grain boundaries using our 4-D data will also be presented and discussed.
Proceedings Inclusion? Planned: A print-only volume

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

3D and 4D Characterization of Failure Mechanisms in Commercial Li-Ion Batteries
Bingham Mixture Model for Efficient Microtexture Estimation from Discrete Orientation Data
Correlation of Multi-modal Chemical Imaging with Computational Simulations for Energy Materials
Digital Representation of Materials Grain Structure from Four-Dimensional X-ray Microtomography Data
Error Analysis of Near-field High Energy Diffraction Microscopy
In Situ Synchrotron Quantification of Evolving Solidification Microstructures in Ni and Co Based Alloys
Integrated Imaging: The Sum is Greater than the Parts
Integrated Multimodal Imaging of Cathodes for Lithium Ion Battery
Methodology for Reconstruction of Samples Analyzed with Simultaneous Neutron and X-Ray Imaging
Modeling Multi-modal Images of Photocatalysis on Cu2O
Multi-Modality Imaging at the Hard X-ray Nanoprobe Beamline at the NSLS-II
Multi-scale, Multi-Model Analysis of Deformation Behavior in Metallic Materials by X-ray Microtomography, FIB, and EBSD
Neutrons, Materials and Data Challenges
Real Time Analysis, Interpretation and Experimental Steering for Electron Microscopy
Recognizing Patterns from Experimental Data
Structure Quantification, Property Prediction and 4D Reconstruction Using Limited X-ray Tomography Data

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