Additive Manufacturing Thermal Monitoring for Non-Destructive Quality Control
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Solution Overview
Problem
Current additive manufacturing processes lack non-destructive methods for verifying the integrity of parts, as conventional quality assurance testing often requires destruction of the part, making it impractical for production use.
Innovation Solution
The implementation of optical sensing techniques, specifically using Half Power Bandwidth (HPBW) metrics derived from thermal data collected by pyrometers or photodiodes, to monitor and control the additive manufacturing process, allowing for real-time detection of manufacturing defects and adjustments to process parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If destructive testing is used to verify part quality, then measurement precision is improved, but productivity deteriorates due to part destruction
Solution Approach 1:
The patent replaces mechanical/optical sensing systems with thermal sensing (pyrometers) to detect manufacturing defects. By monitoring thermal signatures and temperature variations during the additive manufacturing process, the system can identify defects without physical contact or destruction of the part, thus maintaining productivity while achieving quality verification.
Solution Approach 2:
The patent introduces thermal energy as an intermediary to detect part quality. By measuring temperature distributions and thermal patterns during manufacturing, the system indirectly detects defects without directly examining or destroying the part structure, enabling non-destructive quality assurance.
2Manufacturing precision
If optical sensing techniques are implemented for real-time monitoring, then manufacturing precision is improved through defect detection, but device complexity increases
Solution Approach 1:
The patent extracts only the essential thermal monitoring function from complex multi-sensor systems. By using pyrometers to specifically monitor temperature and thermal signatures, the system achieves defect detection with simpler equipment compared to comprehensive optical sensing arrays, reducing device complexity while maintaining manufacturing precision.
Solution Approach 2:
The patent leverages the inherent thermal emissions from the additive manufacturing process itself as the sensing signal. The manufacturing process generates thermal energy that is naturally emitted, and the pyrometers simply detect these self-generated thermal signatures, eliminating the need for external illumination or complex active sensing systems.
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 non-destructive quality assurance and process control, preventing defects by monitoring temperature and voltage changes during the manufacturing process, thereby ensuring consistent part quality without damaging production parts.
Implementation Method 1
monitoring a temperature of a portion of a build plane during an additive manufacturing operation using a temperature sensor as a heat source passes through the portion of the build plane
Data Source
AI summary
This disclosure describes an additive manufacturing method that includes monitoring a temperature of a portion of a build plane during an additive manufacturing operation using a temperature sensor as a heat source passes through the portion of the build plane; detecting a peak temperature associated with one or more passes of the heat source through the portion of the build plane; determining a threshold temperature by reducing the peak temperature by a predetermined amount; identifying a time interval during which the monitored temperature exceeds the threshold temperature; identifying, using the time interval, a change in manufacturing conditions likely to result in a manufacturing defect; and changing a process parameter of the heat source in response to the change in manufacturing conditions.