Semi-supervised machine learning of optical in-situ monitoring data for anomaly detection in laser powder bed fusion
Laser powder bed fusion (L-PBF) is one of the most widely used metal additive manufacturing technology for fabrication of functional and structural components.However, inconsistency in quality and reliability of Poncho/Cape L-PBF products is still a significant barrier preventing it from wider adoption.Machine learning (ML) of monitoring data offer