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In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review
Future directions are proposed, with an emphasis on multimodal sensor fusion for multiscale defect prediction and fault diagnosis, ultimately enabling self-adaptation in LAM processes.
Multimodal sensor fusion for real-time location-dependent defect detection in laser-directed energy deposition
Traditional in-situ monitoring approach utilizes a single sensor (i. e., acoustic, visual, or thermal sensor) to capture the complex process dynamic behaviors, which is insufficient for defect detection with high accuracy and robustness.
Multisensor fusion-based digital twin in additive manufacturing for in-situ quality monitoring and defect correction
Early detection and correction of defects are critical in additive manufacturing (AM) to avoid build failures.
AI Augmented Digital Metal Component
The aim of this work is to propose a new paradigm that imparts intelligence to metal parts with the fusion of metal additive manufacturing and artificial intelligence (AI).
