Detection, classification and prediction of internal defects from surface morphology data of metal parts fabricated by powder bed fusion type additive manufacturing using an electron beam

• Published in: Additive manufacturing Vol. 54; p. 102736
• Main Authors: Gui, Yunwei, Aoyagi, Kenta, Bian, Huakang, Chiba, Akihiko
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2022
• Subjects: Additive manufacturing; Internal defects; Machine learning; Powder bed fusion; Surface morphology; Internal defects; Powder bed fusion; Additive manufacturing; Surface morphology; Machine learning

In powder bed fusion type additive manufacturing using an electron beam (PBF-EB), various process parameters have a significant influence on the performance of manufactured parts. To expand the use of PBF-EB technology in the material industry, one of the problems is the generation of internal defec...