Engine Component Micro-XRF Inspection With Adaptive Multi-Scan Detection

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Solution Overview

Problem

Existing inspection methods for engine components, such as ultrasonic, macroetch, eddy current, and X-ray/Computed Tomography, struggle to efficiently detect chemical anomalies due to limitations in sensitivity, surface roughness, and time-consuming scanning processes, particularly for complex geometries.

Innovation Solution

A micro-XRF inspection method utilizing a robotic system with a micro-XRF head, computer detection algorithm, and multi-scan strategy to reduce inspection time while maintaining precision and recall, incorporating a high-speed scan for large areas and high-resolution scans for potential anomalies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional inspection methods (ultrasonic, macroetch, eddy current, X-ray/CT) are used to detect chemical anomalies, then detection capability is maintained, but inspection time becomes excessively long and resources are consumed

Engineering Contradiction:
Improvedetection capabilityVSAvoidinspection time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The inspection process is segmented into multiple passes: a first pass using lower resolution settings to cover large areas quickly, followed by a second pass using higher resolution settings to inspect identified regions of interest. This segmentation allows the system to maintain detection capability while significantly reducing overall inspection time by avoiding uniform high-resolution scanning of entire components.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system applies partial action by performing high-resolution inspection only on specific regions of interest rather than the entire component surface. The first pass identifies potential anomalies, and the second pass focuses resources only on those specific areas, avoiding the excessive time consumption of comprehensive high-resolution scanning while maintaining adequate detection capability.

Inventive Principle:
Principle #16Partial or excessive action

2Measurement precision

If high-resolution scanning is applied to the entire component surface, then detection precision is improved, but inspection time increases significantly

Engineering Contradiction:
Improvedetection precisionVSAvoidinspection efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The inspection system applies local quality by using different scanning resolutions in different regions of the component. High-resolution scanning is applied locally to regions of interest identified in the first pass, while the majority of the component surface is inspected using lower resolution settings. This approach maintains detection precision where needed while preserving overall inspection efficiency.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

High-resolution scanning is applied partially only to specific regions of interest rather than uniformly across the entire component. This partial application of high-resolution scanning maintains detection precision for potential anomalies while avoiding the excessive time consumption that would result from comprehensive high-resolution scanning of all surfaces.

Inventive Principle:
Principle #16Partial or excessive action

3Productivity

If multi-scan strategy with different resolutions is implemented, then inspection efficiency is improved, but system complexity increases

Engineering Contradiction:
Improveinspection efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The inspection system implements dynamics by automatically adjusting scanning parameters based on inspection progress and identified features. The system transitions from lower resolution scanning in the first pass to higher resolution scanning in the second pass, dynamically adapting the inspection strategy based on previously identified regions of interest. This dynamic adjustment improves efficiency without requiring complex manual intervention.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system uses feedback from the first inspection pass to guide the second pass. Regions of interest identified during the initial lower-resolution scanning trigger targeted high-resolution re-inspection. This feedback mechanism allows the system to automatically optimize inspection resources based on actual findings, improving efficiency while managing complexity through algorithmic control rather than manual complexity.

Inventive Principle:
Principle #23Feedback

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 significantly reduces inspection time while ensuring high precision and recall, enabling efficient detection of chemical anomalies on engine components, thereby optimizing maintenance and extending component lifespan.

Implementation Method 1

micro-XRF inspection method

Methodology Applied
Scientific EffectX-ray fluorescence: Fluorescence

Implementation Method 2

micro-XRF head

Methodology Applied
Scientific EffectX-ray excitation: X-Ray

Data Source

PatentUS20250321159A1Apparatus and method for inspecting an engine component
Publication Date: 2025.10.16 GENERAL ELECTRIC CO
  • US20250321159A1 patent drawing
  • US20250321159A1 patent drawing
  • US20250321159A1 patent drawing

AI summary

An apparatus and method for an inspection apparatus for inspecting an engine component. The inspection apparatus includes at least one controller configured to receive a set of inspection parameters based on a detection metric. A non-destructive evaluation (NDE) instrument for scanning a predetermined area of a surface of the engine component according to the set of inspection parameters to generate a data set is included. Further, the inspection apparatus includes a computer configured to apply a detection algorithm to the data set.