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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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Detaylı Bibliyografya
Asıl Yazarlar: Won-Jung Oh, Choon-Man Lee, Dong-Hyeon Kim
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Elsevier 2022-09-01
Seri Bilgileri:Journal of Materials Research and Technology
Konular:
Online Erişim:http://www.sciencedirect.com/science/article/pii/S2238785422013874
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