LLNL: AI detects defects during 3D printing
Lawrence Livermore National Laboratory is using camera-based AI inspection to analyze direct ink writing layer by layer and detect defects during the build.
Researchers at Lawrence Livermore National Laboratory are developing camera-based inspection for direct ink writing. The system analyzes large numbers of images layer by layer and produces spatial maps of printing defects.
The goal is not merely post-process inspection: the algorithms look for deposition and geometric deviations during the build, creating the possibility of intervention before the complete part is finished.
A direction for in-process inspection
This approach is particularly relevant to research and high-value material processes where a failed full build can be expensive.
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