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Meeting MS&T25: Materials Science & Technology
Symposium Materials Informatics for Images and Multi-Dimensional Datasets
Presentation Title Application of a Linear Homography Based approach for absolute residual strain extraction from Electron Backscatter Diffraction Patterns
Author(s) Crestienne Alexandra Dechaine, Marc De Graef
On-Site Speaker (Planned) Crestienne Alexandra Dechaine
Abstract Scope We report on a novel method for the quantification of residual strain from high-resolution electron backscatter diffraction (EBSD) images using a dictionary-based approach coupled with a linear homography-based approach to extract a deformation gradient tensor from the Kikuchi patterns. The initial algorithm validation was performed using an EBSD data set collected on polycrystalline 316L SS steel that was subjected to tensile loading. The results were then compared with the more conventional High-Resolution Electron Backscatter Approach (HR-EBSD) implemented in OpenXY. The novel algorithm will then be applied to additively manufactured (AM) 316 L SS, whose complex microstructure limits the use of the conventional HR-EBSD technique. The determination of absolute residual strain distributions in AM parts is essential for understanding the influence of manufacturing parameters on thermal shrinkage and expansion in a constrained geometry. The novel method aims to enable the quantification of residual stresses in AM parts via EBSD.

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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