Engine Component Micro-XRF Inspection for Chemical Anomalies
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Solution Overview
Problem
Existing inspection methods for engine components, such as ultrasonic, macroetching, eddy current, and X-ray/Computed Tomography, struggle with detecting small chemical anomalies due to limitations in sensitivity, surface roughness, and time-consuming scanning, especially for complex geometries.
Innovation Solution
A micro-XRF inspection method using a robotic system with a micro-XRF head and computer detection algorithm for multi-scan inspection, combining high-speed and high-resolution scans to reduce time while maintaining precision and recall requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional inspection methods (ultrasonic, macroetch, eddy current, X-ray/CT) are used to inspect engine components, then comprehensive material evaluation is achieved, but detection of small chemical anomalies is limited due to sensitivity constraints and surface roughness interference
Solution Approach 1:
The patent replaces traditional mechanical contact-based inspection methods (ultrasonic, macroetch, eddy current) with non-contact X-ray fluorescence (XRF) technology. This substitution eliminates the harmful effect of surface roughness on detection sensitivity, as XRF can penetrate and analyze material composition without being blocked by surface irregularities, thereby achieving high detection precision for small chemical anomalies
Solution Approach 2:
The patent utilizes the unique parameter of XRF technology - its ability to detect chemical composition through X-ray fluorescence emission - to overcome the limitations of traditional methods. By changing from mechanical/acoustic detection parameters to electromagnetic radiation-based chemical analysis parameters, the system achieves sensitivity to small chemical anomalies that was previously unattainable with surface-level inspection methods
2Reliability
If traditional inspection methods are applied to complex geometry components, then thorough inspection coverage is attempted, but inspection time increases significantly
Solution Approach 1:
The patent replaces slow, mechanical scanning inspection systems with automated XRF inspection technology coupled with digital image processing. This substitution enables rapid data acquisition and automated anomaly detection through computer algorithms, dramatically reducing inspection time while maintaining comprehensive coverage of complex geometries through non-contact measurement capability
Solution Approach 2:
The patent creates a digital copy or map of the component surface using XRF scanning, which can then be processed by computer algorithms to identify anomalies. This digital representation allows for rapid re-inspection and analysis without requiring physical re-scanning, reducing overall inspection time while maintaining reliable detection coverage
3Measurement precision
If high-resolution scanning is used to detect small chemical anomalies, then detection precision is improved, but inspection time increases considerably
Solution Approach 1:
The patent creates a digital map or copy of the component surface using XRF scanning, which can be rapidly processed by computer algorithms to identify chemical anomalies. This digital representation enables high-resolution analysis without requiring prolonged physical scanning, as the data acquisition and analysis are optimized through automated processing, thereby maintaining high detection precision while improving inspection throughput
Solution Approach 2:
The patent replaces manual, time-consuming high-resolution scanning with automated XRF systems coupled with computer-based anomaly detection algorithms. This substitution eliminates the time penalty associated with manual high-resolution inspection while maintaining detection precision, as the automated system can rapidly acquire and process data without human intervention delays
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
The method efficiently identifies chemical anomalies on engine components, reducing inspection time while achieving high precision and recall levels, enabling faster and more accurate detection of potential defects.
Implementation Method 1
micro-XRF inspection method
Implementation Method 2
micro-XRF inspection method
Data Source
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AI summary
An apparatus and method (100) for an inspection apparatus for inspecting an engine component (12a, 12b). The inspection apparatus includes at least one controller (400) configured to receive a set of inspection parameters based on a detection metric (60). A nondestructive evaluation (NDE) instrument for scanning a predetermined area of a surface of the engine component (12a, 12b) according to the set of inspection parameters to generate a data set (70) is included. Further, the inspection apparatus includes a computer (400) configured to apply a detection algorithm (A) to the data set.