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Microtexture Region Segmentation Using Matching Component Analysis Applied to Eddy Current Testing Data
by
Cherry, Matthew
, Lorenzo, Nick
, Homa, Laura
, Wertz, John
in
Algorithms
/ Characterization and Evaluation of Materials
/ Classical Mechanics
/ Control
/ Crystallography
/ Datasets
/ Dynamical Systems
/ Eddy current testing
/ Engineering
/ Expected values
/ Inverse problems
/ Mapping
/ Matching
/ Microtexture
/ Random variables
/ Solid Mechanics
/ Symmetry
/ Titanium alloys
/ Vibration
2023
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Microtexture Region Segmentation Using Matching Component Analysis Applied to Eddy Current Testing Data
by
Cherry, Matthew
, Lorenzo, Nick
, Homa, Laura
, Wertz, John
in
Algorithms
/ Characterization and Evaluation of Materials
/ Classical Mechanics
/ Control
/ Crystallography
/ Datasets
/ Dynamical Systems
/ Eddy current testing
/ Engineering
/ Expected values
/ Inverse problems
/ Mapping
/ Matching
/ Microtexture
/ Random variables
/ Solid Mechanics
/ Symmetry
/ Titanium alloys
/ Vibration
2023
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Do you wish to request the book?
Microtexture Region Segmentation Using Matching Component Analysis Applied to Eddy Current Testing Data
by
Cherry, Matthew
, Lorenzo, Nick
, Homa, Laura
, Wertz, John
in
Algorithms
/ Characterization and Evaluation of Materials
/ Classical Mechanics
/ Control
/ Crystallography
/ Datasets
/ Dynamical Systems
/ Eddy current testing
/ Engineering
/ Expected values
/ Inverse problems
/ Mapping
/ Matching
/ Microtexture
/ Random variables
/ Solid Mechanics
/ Symmetry
/ Titanium alloys
/ Vibration
2023
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Microtexture Region Segmentation Using Matching Component Analysis Applied to Eddy Current Testing Data
Journal Article
Microtexture Region Segmentation Using Matching Component Analysis Applied to Eddy Current Testing Data
2023
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Overview
Microtexture regions (MTR) are collections of grains with similar crystallographic orientation; their presence in aerospace components can significantly impact component life. Thus, a method to detect and characterize MTR is needed. A potential solution is to use eddy current testing, which is sensitive to local changes in crystallographic orientation, to determine the size and dominant orientation of MTR. In this work, we introduce a technique that combines a variant of the matching component analysis algorithm with level set inversion in order to characterize MTR using eddy current testing data. The method is applied to simulated eddy current testing data of a real titainum specimen. Using this technique, we are able to successfully determine the boundaries and average orientation of MTR in the specimen.
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