Leveraging In-Situ Monitoring and Machine Learning for Defect Detection and Adaptive Quality Enhancement in Laser Additive Manufacturing

Optical, acoustic, and multisensor monitoring techniques, combined with advanced machine learning models, enable early detection of defects and adaptive process control to achieve consistent part quality and zero-defect manufacturing in laser additive processes.