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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-01-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023105809 |