Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review
Giulio Mattera(University of Naples Federico II), Davide Paolella, Luigi Nele(University of Naples Federico II)
Cited by 108
Related Papers
Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing
|Journal of Intelligent Manufacturing|2024|60
Semi-supervised learning for real-time anomaly detection in pulsed transfer wire arc additive manufacturing
|Journal of Manufacturing Processes|2024|48
Towards the application of machine learning in digital twin technology: a multi-scale review
|Discover Applied Sciences|2024|44
Monitoring the gas metal arc additive manufacturing process using unsupervised machine learning
|Welding in the World|2024|43