The Navy desires an Intelligent Additive Manufacturing (IAM) system for metal Laser Powder Bed Fusion (LPBF) that can incorporate AI to provide real-time adaptive monitoring and control of the LPBF process and produce defect-free parts while maintaining or reducing part build times. To provide this, our team will develop Open-IAM. The concept will consist of a controllable open architecture LPBF AM system, melt-pool temperature sensors, auxiliary process sensors, and an unsupervised learning algorithm to control the LPBF process.
Benefit: The Open-IAM will provide real-time adaptive monitoring and control of the metal LPBF AM process and produce defect-free parts while maintaining or reducing part build times. This will facilitate the use of LPBF AM to produce reliable and cost-effective metal parts at Naval maintenance depots
Keywords: additive manufacturing, additive manufacturing, Process Monitoring Sensors, Machine Learning, Artificial Intelligence, Laser Based Powder Bed Fusion
