An in situ crack detection approach in additive manufacturing based on acoustic emission and machine learning
The use of additive manufacturing (AM) and its particular realization – laser powder bed fusion (L-PBF) – is on the rise. However, the method is not free from flaws, mainly represented by structural defects of the printed specimen, such as cracks and pores, requiring processing monitoring. In this w...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-04-01
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| Series: | Additive Manufacturing Letters |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772369023000117 |