Autonomous additive manufacturing system (AAMS)

Our team at the University of Toronto develops the AAMS, an autonomous additive manufacturing system that, much like a self-driving car, can adjust printing parameters in real time during the fabrication process. The AAMS is a novel metal additive manufacturing system that predicts and corrects any possible defects that may occur to the parts being printed, delivering components with improved quality. The AAMS is desirable for industries such as aerospace, automotive, biomedical, etc., where metal parts with complex geometries and superior properties are sought after. Compared with current additive manufacturing machines available on the market, the AAMS is competitive for its low cost, high reliability, and minimal training/initial setup costs empowered by machine learning technologies.

AAMS's highlights: 1. It is the first autonomous direct energy deposition metal additive manufacturing system that requires minimal human intervention; 2. It is empowered by a novel machine learning inference model trained on large datasets; 3. It implements a intelligent control system that corrects the processing parameters in real time during fabrication.