In Situ Quality Monitoring in AM Using Acoustic Emission: A Reinforcement Learning Approach

By K. Wasmer, Tri Le-Quang, B. Meylan, S. Shevchik. Journal of materials engineering and performance (Print), 2018

140 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives (2019, background): “[35,36] presented a study on in situ quality monitoring for SLM using acoustic emission (AE) and NNs, which is depicted in Fig.”
In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review (2021, methodology): “applied ML to in-situ monitoring of acoustic emissions in PBF [153].”