Texture Analysis Frame Alignment for EBSD Orientation Correction
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Solution Overview
Problem
Conventional electron backscatter diffraction (EBSD) and transmission Kikuchi diffraction (TKD) techniques face challenges in accurately measuring material properties due to issues such as poor surface preparation, fine grain size, deformation, hydrocarbon contamination, and oxide surface layers, leading to suboptimal diffraction patterns and misalignment of sample frames with expected reference frames.
Innovation Solution
A method and system for characterizing materials by obtaining diffraction patterns, identifying crystallographic orientations, building pole figures, selecting a reference spherical function, correlating spherical images, determining a sample frame, and rotating the orientations into alignment with a reference frame to correct for misalignments and improve texture analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional EBSD/TKD techniques are used to measure material properties, then diffraction patterns can be obtained, but misalignment of sample frames with reference frames occurs due to poor surface preparation, fine grain size, deformation, contamination, and oxide layers
Solution Approach 1:
The system performs preliminary actions by automatically detecting the sample frame orientation from diffraction patterns and calculating the misalignment angle before proceeding with texture analysis. This preliminary detection and correction step ensures that the sample frame is properly aligned with the reference frame, resolving the misalignment issue caused by various sample conditions
Solution Approach 2:
The system implements feedback by continuously monitoring the alignment between sample frame and reference frame, automatically detecting misalignment angles, and applying corrective rotations. This closed-loop feedback mechanism ensures that even when surface preparation, grain size, or contamination affects diffraction quality, the system can still achieve accurate frame alignment through iterative detection and correction
2Productivity
If frame misalignment is not corrected, then texture analysis can still be performed, but accuracy of texture measurements and orientation maps is degraded
Solution Approach 1:
The system performs frame alignment correction as a preliminary step before texture analysis. By automatically detecting the misalignment angle and applying the necessary rotation transformation to crystallographic orientations, the system ensures that subsequent texture measurements are performed on properly aligned data, thereby maintaining high measurement accuracy without sacrificing analysis speed
Solution Approach 2:
The system replaces manual mechanical realignment of samples with an automated computational approach. Instead of physically adjusting the sample orientation, the system uses software-based detection of diffraction pattern geometry and applies mathematical rotation transformations to the crystallographic orientation data, achieving frame alignment through computational methods rather than mechanical adjustment
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy and efficiency of texture analysis by aligning crystallographic orientations with a reference frame, allowing for improved measurement of grain size, shape, and material properties, even in complex microstructures and unknown sample orientations.
Implementation Method 1
The electron source may emit electrons that are directed in a beam through the column and toward a sample chamber
Implementation Method 2
In the portion of the sample, known as the interaction volume, electrons diffract from crystal planes inside the sample 102. The electrons travel from the interaction volume toward a detector 110 in a geometric pattern of relative intensities of diffracted electrons 112
Implementation Method 3
Lenses 114, such as electromagnetic lenses, may focus and/or deflect the electron beam 106 at different working distances (focal length beneath a lowest point of the column 116) and/or locations on the sample 102
Data Source
AI summary
A system may obtain a plurality of experimental diffraction patterns. A system may identify a crystallographic orientation of each diffraction pattern of the plurality of experimental diffraction patterns. A system may build one or more pole figures. A system may select a reference spherical function having a reference frame. A system may correlate spherical images from the pole figures and the reference spherical function. A system may determine a sample frame of the crystallographic orientations. A system may rotate the crystallographic orientations of the plurality of experimental diffraction patterns into alignment with the reference frame to produce a plurality of rotated crystallographic orientations.