Monitoring additive manufacturing

This invention describes a system for monitoring 3D printing as it happens. For each new layer being built, the system first predicts what its heat signature should look like, then captures an actual thermal image of the layer. By comparing these two images, it calculates a 'risk score' based on how much the actual heat signature deviates from the predicted one. If the risk score is too high, indicating a potential problem, the system takes action to fix it, specifically by looking at pixel-by-pixel thermal differences.

Why it matters: Filed before widespread adoption of advanced machine learning for real-time image analysis and predictive modeling. Modern AI tools could significantly enhance the accuracy of thermal predictions and risk scoring, making the system more robust.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedThermal camera, real-time image processing, control software.

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