Intelligent Multi-Laser System for Metal Additive Manufacturing

Although metal additive manufacturing (AM) technologies have demonstrated capabilities for producing complex geometries beyond those of traditional manufacturing of subtractive or multi-part assembly, wider AM adaptation is limited by low throughput and poor material quality. Consequently, AM fabricated parts are costly and unable to meet demand where dynamic failure is unacceptable. Triton Systems, with our academic partner, propose to develop a scalable laser system controlled by machine learning (ML). ML controls trained on ground-truth data, will monitor AM from in-situ sensors to control process parameters. The program will lead to the development of an AI/ML methodology for improved material quality by enhanced controls of a scalable laser system. Further, by expanding our system to multiple laser modules will increase AM throughput.