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Raster Angle Prediction of Additive Manufacturing Process Using Machine Learning Algorithm

As additive manufacturing (AM) processes become integrated with artificial intelligence systems, the time and cost of the fabrication process decrease. In this study, the raster angle, an important parameter in the manufacturing process, was examined using fused deposition modeling (FDM), an AM meth...

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Principais autores: Osman Ulkir, Mehmet Said Bayraklılar, Melih Kuncan
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-02-01
Serier:Applied Sciences
Fag:
additive manufacturing
machine learning
FDM
raster angle
prediction
Online adgang:https://www.mdpi.com/2076-3417/14/5/2046
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