Determining optimal bead central angle by applying machine learning to wire arc additive manufacturing (WAAM)

Determining optimal bead central angle by applying machine learning to wire arc additive manufacturing (WAAM)

Wire arc additive manufacturing (WAAM) is being extensively used in various industrial fields. In WAAM, if a bead is deposited without considering the central angle, its shape may collapse with increasing number of layers. To address this problem, a new method for optimizing the bead geometry using...

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Detalhes bibliográficos
Main Authors:	Dong-Ook Kim, Choon-Man Lee, Dong-Hyeon Kim
Formato:	Artigo
Idioma:	English
Publicado em:	Elsevier 2024-01-01
Colecção:	Heliyon
Assuntos:	Wire arc additive manufacturing (WAAM) Machine learning (ML) Support vector machine Central angle
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2405844023105809

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