Prediction of deposition bead geometry in wire arc additive manufacturing using machine learning

The deposition bead geometry in the arc strike zone is often abnormal compared with that in the middle deposition zone. The accumulation of these errors in the deposition process results in defects in the overall geometry of the deposition bead. To prevent the accumulation of such errors, this study...

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Bibliographic Details
Main Authors: Won-Jung Oh, Choon-Man Lee, Dong-Hyeon Kim
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Journal of Materials Research and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785422013874