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NDT.net Issue: 2023-01 EWGAE35 & ICAE10 Conference on Acoustic Emission Testing, Ljubljana, Slovenia, September 2022 (EWGAE 2022) | Vol. 28(1) Special Issue of e-Journal of Nondestructive Testing (eJNDT) ISSN 1435-4934 Vol. 28(1) Session: Process Monitoring | |
When AM (additive manufacturing) meets AE (acoustic emission) and AI (artificial intelligence)Kilian Wasmer15, Rita Drissi-daoudi2, Giulio Masinelli1, Tri Quang-le1, Roland Loge2, Sergey A. Shevchik151Swiss Federal Laboratories for Materials Science and Technology , Empa5, Thun, Switzerland 2Thermomechanical Metallurgy Laboratory; Ecole polytechnique fédérale de Lausanne (EPFL)19, Lausanne, Switzerland Abstract: Acoustic Emission (AE) is an effective method to monitor and control the quality in different technical processes and phenomena, including tribology and fracture mechanics. However, in highly dynamic processes such as Laser Additive Manufacturing (LAM) of metal, the processing of AE signals is very burdensome. At the same time, artificial intelligence (AI) has been considered as a new and powerful tool to overcome the complexity of the large data processing with a reasonable computational time. In this contribution, we have summarized our prior works. To start with, we demonstrated that the combination of AE with state-of-the-art signal processing including AI makes it possible to differentiate several process conditions, workpiece quality and materials. Then, we present some limitations when changing process parameters and materials. Finally, we also introduce alternative AI methods to reduce the amount of data needed to train the AI algorithms as well as transfer the knowledge from one material to another one. This will give the reader an overview of the advances of monitoring the LAM process combining AE with AI techniques to make a significant step forward in in situ and real-time process monitoring and quality control. In particular, Keywords: accoustic emission (3), additive manufacturing (99), artificial intelligence (49), Comments or Questions? Share:
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