Machine learning assisted development in additive manufacturing

This invention describes a way to make additive manufacturing (3D printing) processes better by using computer intelligence. It starts with some basic settings, then uses a smart computer program to suggest new settings for experiments. After running those experiments and collecting data, the computer learns from the results and suggests even better settings for the next round of experiments, repeating this until the desired outcome is achieved. The claims specifically narrow this optimization to parameters affecting material microstructure, chemistry, and properties.

Why it matters: Since 2018, machine learning models have become far more sophisticated and accessible, particularly for complex optimization tasks like intelligently sampling and refining additive manufacturing parameters to achieve specific material properties. This makes the iterative, data-driven approach described significantly more powerful and efficient today.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning software, data integration, AM process control

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