The Application of Convolutional Neural Networks (CNNs) to Recognize Defects in 3D-Printed Parts.

Wen, Hao; Huang, Chang; Guo, Shengmin

Wen, Hao; Huang, Chang; Guo, Shengmin.

Afiliação

Wen H; Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.
Huang C; Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.
Guo S; Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.

Materials (Basel) ; 14(10)2021 May 15.

Article em En | MEDLINE | ID: mdl-34063484

Palavras-chave

CNNs; Detectron2; YOLOv4; additive manufacturing; defect classification; defect detection; image segmentation; process control

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Materials (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Materials (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos