
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.


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leveraging-in-situ-monitoring-and-machine-learning-for-defect-detection-and-adaptive-quality-enhancement-in-laser-additive-manufacturing


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