Bead Geometry Prediction in Laser-Wire Additive Manufacturing Process Using Machine Learning: Case of Study

Bead Geometry Prediction in Laser-Wire Additive Manufacturing Process Using Machine Learning: Case of Study

In Laser Wire Additive Manufacturing (LWAM), the final geometry is produced using the layer-by-layer deposition (beads principle). To achieve good geometrical accuracy in the final product, proper implementation of the bead geometry is essential. For this reason, the paper focuses on this process an...

Full description

Bibliographic Details
Main Authors: Natago Guilé Mbodj, Mohammad Abuabiah, Peter Plapper, Maxime El Kandaoui, Slah Yaacoubi
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
laser wire additive manufacturing
machine learning
bead geometry
model prediction
neural network
Online Access:https://www.mdpi.com/2076-3417/11/24/11949

Internet

https://www.mdpi.com/2076-3417/11/24/11949

Similar Items