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Meeting 2016 TMS Annual Meeting & Exhibition
Symposium Driving Discovery: Integration of Multi-Modal Imaging and Data Analysis
Presentation Title Structure Quantification, Property Prediction and 4D Reconstruction Using Limited X-ray Tomography Data
Author(s) Hechao Li, Somya Singh, C. Shashank Kaira, James Mertens, Nikhilesh Chawla, Yang Jiao
On-Site Speaker (Planned) Hechao Li
Abstract Scope In this talk, we present our recent work on utilizing limited x-ray tomography data for heterogeneous material structure quantification, property prediction, and microstructure reconstruction in 3D and 4D. We first show that an inverse superposition of properly normalized attenuated intensity along different x-ray paths leads to the probability map for the material, which provides the probably of finding the phase of interest at a point in the material sample. Spatial correlation functions, which are statistical morphological descriptors of the material, are readily computed from the associated probability map. Using effective medium theory and the computed correlation functions, accurate predictions of physical properties (e.g., elastic moduli) can then be obtained. Finally, we present a stochastic reconstruction procedure that generate accurate rendition of 3D material microstructure from a handful of tomographic projections. This stochastic procedure can be easily adapted to a dynamically reconstruct 4D structural evolution from small in situ data set.
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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