Automated Thermally-Sensitive Coating Analysis via Multispectral Imaging
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Solution Overview
Problem
Manual interpretation of thermally-sensitive coatings on mechanical components, such as those in gas turbines, is tedious, time-consuming, and prone to errors due to the need for color change analysis from temperature exposure.
Innovation Solution
An automated method involving multispectral imaging, non-uniformity correction, and 3D mapping using a narrowband multispectral filter and polarization filter to generate a 2D temperature map, which is then projected onto a 3D CAD model, incorporating image analytics and filtering techniques to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual interpretation of thermally-sensitive coating color changes is performed, then flexibility and adaptability are maintained, but productivity is reduced and measurement precision deteriorates due to tedium and human error
Solution Approach 1:
The patent replaces manual visual inspection with an automated optical imaging system that captures images of thermally-sensitive coatings and uses image processing algorithms to analyze color changes. The system substitutes human interpretation with computational analysis, dramatically improving productivity and measurement precision while maintaining the ability to handle complex coating patterns through automated image processing.
Solution Approach 2:
The patent creates digital copies of the thermally-sensitive coating surfaces through high-resolution imaging. These digital images serve as replicas that can be processed, stored, and analyzed without physically touching or altering the actual coating. This copying approach enables repeated analysis and archiving while maintaining measurement accuracy.
2Measurement precision
If automated image processing is implemented, then measurement precision and productivity are improved, but device complexity increases due to additional processing steps
Solution Approach 1:
The patent divides the image processing task into distinct segments: calibration phase (establishing color-temperature relationships), image acquisition (capturing coating images), non-uniformity correction (adjusting for lighting and sensor variations), and temperature mapping (converting colors to temperature data). This segmentation allows each processing stage to be optimized independently, improving overall precision while managing complexity through modular organization.
Solution Approach 2:
The patent performs preliminary calibration by capturing images of coatings at known temperatures to establish reference color-temperature relationships before actual measurement. This preliminary action creates lookup tables and correction factors that simplify subsequent temperature mapping operations, improving measurement precision without adding complexity to the primary measurement process.
3Measurement precision
If non-uniformity correction and filtering are applied, then measurement precision is improved, but loss of time occurs during additional processing steps
Solution Approach 1:
The patent applies non-uniformity correction and filtering operations at specific periodic intervals rather than continuously. Calibration is performed periodically to update reference data, and filtering is applied at key processing stages rather than to every intermediate result. This periodic approach maintains measurement precision while minimizing unnecessary processing time.
4Measurement precision
If multispectral imaging with multiple filters is used, then measurement precision and information quality are improved, but device complexity and cost increase
Solution Approach 1:
The patent implements multispectral imaging with a selective set of narrowband filters targeted at specific wavelength regions relevant to the thermally-sensitive coating's color change characteristics. Rather than using a complete multispectral system across all visible wavelengths, the patent applies partial action by focusing only on the critical spectral bands needed for accurate temperature measurement, thereby reducing optical system complexity while maintaining sufficient measurement precision.
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 precision and efficiency of temperature exposure analysis by automating the interpretation of thermally-sensitive coatings, providing accurate temperature mapping and exposure data directly onto a 3D model, reducing human error and increasing analysis speed.
Implementation Method 1
the thermally-sensitive coating permanently changes color (an oxidation reaction) depending on duration and exposure temperature
Implementation Method 2
scanning over one or more of a range of distinct frequencies as selected by a narrowband variable filter
Implementation Method 3
a distinct range of polarizations
Data Source
AI summary
A method for thermally-sensitive coating analysis of a component includes imaging the coated, exposed component over a range of distinct frequencies as selected by a narrowband variable filter; estimating parameters of non-uniformity correction (NUC) for every pixel at every wavelength; constructing a 2D temperature map on a pixel-by-pixel basis using the non-uniformity correction; and mapping the 2D temperature map to a 3D computer aided design (CAD) model.