A review on in-situ monitoring, process control and residual stress prediction using machine learning methods in metal-based laser additive manufacturing | Synapse
March 3, 2026
A review on in-situ monitoring, process control and residual stress prediction using machine learning methods in metal-based laser additive manufacturing
Puntos clave
Residual stress prediction is crucial for maintaining the quality of metal-based additive manufacturing processes, and machine learning methods show promise.
Key insights include the application of machine learning to enhance in-situ monitoring and process control during the additive manufacturing procedure.
The review assesses various machine learning techniques applied to optimize process parameters in laser additive manufacturing.
This highlights the need for innovative approaches to ensure precision and reliability in manufacturing processes.