Additive Manufacturing Quality Evaluation via Spatial Color Analysis
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Solution Overview
Problem
Additive laser sintering and laser melting methods for producing aircraft engine components face challenges in efficiently and cost-effectively evaluating the quality of components due to the need for extensive and time-consuming monitoring of process parameters, which is often not continuously possible, leading to high inspection efforts and potential defects.
Innovation Solution
A method and device that utilize spatially resolved color values to evaluate the quality of components by comparing temperature data sets from the produced component to a reference component, allowing for real-time monitoring and detection of deviations, thereby enabling rapid and cost-effective quality assessment and optimization of the manufacturing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If extensive monitoring of process parameters is performed to ensure quality, then quality evaluation accuracy is improved, but inspection time and cost increase significantly
Solution Approach 1:
The patent uses color changes of the powdered material during laser sintering as an indirect indicator of temperature and process quality. By monitoring color values instead of directly measuring multiple process parameters, the system achieves quality evaluation with reduced inspection time and cost while maintaining accuracy.
2Reliability
If continuous monitoring of all process parameters is implemented, then quality control reliability is improved, but device complexity and measurement effort increase
Solution Approach 1:
The patent extracts the quality evaluation function from complex multi-parameter monitoring systems and concentrates it into a single color value measurement. This extraction simplifies the measurement system while maintaining the ability to detect quality issues through color changes during the sintering process.
Solution Approach 2:
Color value serves as an intermediary parameter that indirectly reflects the state of multiple process parameters (temperature, material state, laser power). By using this intermediary, the system achieves reliable quality control without directly measuring all individual parameters, thus reducing device complexity.
3Measurement precision
If multiple individual measurements are performed to evaluate quality, then measurement accuracy is improved, but analysis effort and time increase
Solution Approach 1:
The patent merges multiple individual quality measurements into a single color value assessment. By combining the information from various process parameters into one observable color characteristic, the system reduces analysis effort and time while maintaining measurement accuracy through the comprehensive nature of color changes.
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 simplifies and accelerates the quality evaluation of components, allowing for direct detection of structural deviations during manufacturing, reducing unnecessary losses and enabling precise analysis of energy input and material uniformity, thus improving the overall quality and efficiency of the additive manufacturing process.
Implementation Method 1
locally melted and solidified by using one or a plurality of laser beams
Implementation Method 2
locally melted and solidified
Implementation Method 3
laser-assisted sintering of powdered materials
Implementation Method 4
spatially resolved color values, which each characterize the temperature of the component
Data Source
AI summary
A method for evaluating the quality of a component produced by means of an additive laser sintering and/or laser melting method, in particular a component for an aircraft engine, includes at least the steps of providing a first data set, which comprises spatially resolved color values, which each characterize the temperature of the component at an associated component location during the laser sintering and/or laser melting of the component, providing a second data set, which comprises spatially resolved color values corresponding to the first data set, which color values each characterize the temperature of a reference component at an associated reference component location during the laser sintering and/or laser melting of the reference component.