Thermal Spray Coating Porosity Mapping by Cross-Section Image Analysis
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Solution Overview
Problem
Existing thermal spray techniques struggle to accurately determine and quantify the porosity and spatial homogeneity of thermally-sprayed coatings, leading to inconsistencies in coating quality and potential failure points.
Innovation Solution
Advanced image analysis techniques using a computing device to analyze a cross-sectional image of the coating, calculating total porosity and spatial homogeneity by identifying pixels indicative of void volumes and iteratively analyzing regions within the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual comparison techniques are used to analyze porosity, then the method is simple and requires no complex equipment, but the measurement precision is insufficient and quantification is not possible
Solution Approach 1:
The patent replaces manual visual comparison with automated image processing systems that use computational algorithms to quantify porosity. The system automatically analyzes cross-sectional images, calculates void volume percentages, and determines spatial homogeneity metrics, eliminating the need for operator subjectivity while providing precise, reproducible measurements.
Solution Approach 2:
The patent introduces image processing software as an intermediary between the physical coating sample and the measurement results. This software mediates by converting visual images into quantitative data through automated pixel analysis, enabling precise porosity measurement without requiring complex manual measurement procedures.
2Measurement precision
If visual techniques are used to assess porosity distribution, then the analysis is quick and requires minimal equipment, but the spatial homogeneity cannot be quantified
Solution Approach 1:
The patent replaces subjective visual assessment with automated image analysis algorithms that objectively quantify spatial homogeneity. The system calculates statistical metrics from pixel data across multiple regions, providing precise, reproducible measurements of porosity distribution uniformity that can be efficiently integrated into quality control workflows.
3Reliability
If automated image analysis is implemented, then measurement precision and quantification capability are improved, but the device complexity and initial setup requirements increase
Solution Approach 1:
The patent implements feedback mechanisms where the image analysis results are used to monitor and control coating quality consistency. The system provides quantitative metrics that can trigger process adjustments or identify defective coatings, creating a closed-loop quality control system that improves reliability through data-driven decision-making.
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
Enables precise quantification of porosity and spatial homogeneity, allowing for improved quality control and tailored thermal spray processes to enhance coating performance.
Implementation Method 1
heat generated electrically, by plasma, or by combustion
Implementation Method 2
heat generated electrically, by plasma, or by combustion
Implementation Method 3
heat generated electrically, by plasma, or by combustion to heat material injected in a plume
Implementation Method 4
The melted powder impacts the substrate and flattens
Implementation Method 5
deposit the powder on a surface on the substrate
Implementation Method 6
The image may be made up of a matrix of pixels, with each pixel of the matrix of pixels defining a respective luminance value
Data Source
AI summary
A method includes receiving, by a computing device, an image indicative of a cross-section of a thermally-sprayed layer. The thermally-sprayed layer defines a porosity comprising a void volume of the thermally-sprayed layer. The image comprises a matrix of pixels, each pixel in the matrix of pixels defining a respective luminance value of a plurality of luminance values. The method includes identifying, based on the luminance values, at least one pixel that is indicative of a void volume in the thermally-sprayed layer. The method includes calculating, based on the at least one pixel that is indicative of the void volume in the thermally-sprayed layer, a total porosity of the thermally-sprayed layer. The method includes determining, by the computing device and based on the at least one pixel that corresponds to a void volume in the thermally-sprayed layer, a quantification of a spatial homogeneity of the porosity of the thermally-sprayed layer.