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Meeting MS&T25: Materials Science & Technology
Symposium Materials Informatics for Images and Multi-Dimensional Datasets
Presentation Title Non-destructive 3D characterization of structural failures using X-ray computed tomography
Author(s) Tai-Jan Huang, Angela Criswell
On-Site Speaker (Planned) Tai-Jan Huang
Abstract Scope As materials development and industrial manufacturing grow increasingly complex, the challenges to reliably study structures for accurate failure analysis also intensify. X-ray Computed Tomography (CT) is a non-destructive characterization technique that reveals internal structures of samples without strict dimension restriction or requiring extensive sample preparation. It captures inherently 3D data in a wide range of resolution, providing comprehensive and sampling bias free structure information from the material surface to the very core. Knowledge obtained through X-ray CT provides a solid foundation for both ex situ and time-resolved correlative studies in 3D space. This presentation explores the use of X-ray CT in conducting structural failure studies, including defect spatial distribution visualization, quantification, and microstructure evolution. Load simulation using X-ray CT data will also be demonstrated to show how it connects actual product performance with virtual nominal model design. Examples spanning polymers, metals, CFRP, and ceramics will be showcased.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

3D data pipelines and workflows to mesh experimental and computational results
Application of a Linear Homography Based approach for absolute residual strain extraction from Electron Backscatter Diffraction Patterns
Bidirectional Prediction of Microstructure–Property/Process Relationships in Advanced Structural Materials Using Deep Generative Models
Graph-based materials informatics for Fe-based alloy modeling and design
Harnessing of photodiode signals to predict mechanical properties in laser powder bed fusion additive manufacturing
High Throughput Instrumented Indentation Techniques to Extract Bulk-like Properties of Commercial Metal Alloys
Mapping Microstructure: Manifold Construction and Exploitation for Accelerated Materials Discovery
Microstructure representation with foundational vision models for efficient learning of microstructure--property relationships
Nanocrystalline Films: Imaging, Orientation Mapping, Machine Learning and Data Analytics
Non-destructive 3D characterization of structural failures using X-ray computed tomography
Parametrization of Phases, Symmetries and Defects Through Local Crystallography
Smart E-Waste Sorting: Confidence-Aware Rare Earth and Hazardous Material Mapping via Hyperspectral Imaging

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