X-ray Diffraction Anomaly Detection in Single Crystal Structures
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Solution Overview
Problem
Existing methods for detecting anomalies in single crystal structures of metal alloys used in aircraft engine components are labor-intensive and subjective, relying on operator skill and interpretation, which can lead to inaccuracies in identifying defects.
Innovation Solution
A method involving controlled illumination of the crystal structure with x-ray radiation in a known direction, followed by detection and comparison of diffracted patterns to a simulated pattern, using techniques like Laue back reflection or spatially resolved acoustic spectroscopy, to accurately identify anomalies in the crystallographic orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If known inspection processes are used to detect anomalies in single crystal structures, then the detection can be performed, but the process is labor intensive and subjective due to reliance on operator skill and interpretation
Solution Approach 1:
The patent creates a simulated reference beam pattern that copies the expected diffraction pattern for a defect-free single crystal structure. This simulated pattern is then compared with the actual measured beam pattern to automatically detect anomalies, eliminating the need for manual inspection while improving accuracy and consistency.
Solution Approach 2:
The patent replaces the manual mechanical inspection process with an automated x-ray diffraction system that uses computational comparison between simulated and measured beam patterns. This substitution eliminates operator subjectivity and labor-intensive procedures while maintaining or improving detection capability.
2Reliability
If manual inspection methods are used, then the process can be performed with existing equipment, but it is subjective and lacks consistency due to operator interpretation
Solution Approach 1:
The simulated reference beam pattern serves as a consistent, reproducible standard that can be generated and stored for repeated use. This eliminates variability between different operators and inspection sessions, ensuring reliable and consistent anomaly detection across all inspections.
Solution Approach 2:
The patent performs preliminary simulation of the reference beam pattern before actual inspection. This pre-computed reference is then directly compared with measured patterns during inspection, eliminating the need for manual analysis and significantly reducing inspection time while maintaining high reliability.
3Measurement precision
If automated x-ray diffraction with simulated pattern comparison is implemented, then detection accuracy and consistency improve, but the device complexity and computational requirements increase
Solution Approach 1:
The simulated reference beam pattern is a computational model that can be generated once and reused multiple times without additional complexity. This approach achieves high measurement precision through accurate simulation and comparison while avoiding the need for complex real-time processing during actual inspections.
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
This approach enhances the accuracy and efficiency of anomaly detection in single crystal structures, reducing reliance on operator interpretation and improving the reliability of identifying defects in aerospace components.
Implementation Method 1
illuminating the structure with x-ray radiation in a known direction relative to the crystallographic orientation; detecting a pattern of the diffracted x-ray radiation transmitted through the structure
Data Source
AI summary
A method of detecting an anomaly in a crystallographic structure, the method comprising: illuminating the structure with x-ray radiation in a known direction relative to the crystallographic orientation; positioning the structure such that its crystallographic orientation is known; detecting a pattern of the diffracted x-ray radiation transmitted through the structure; generating the simulated pattern based on the known direction relative to the crystallographic orientation; comparing the detected pattern to a simulated pattern for x-ray radiation illuminating in the known direction; and, detecting the anomaly in the crystallographic structure based on the comparison.