Semantic Scholar Open Access 2021 141 sitasi

Defect inspection technologies for additive manufacturing

Yao Chen Xing Peng Ling-hua Kong Guangxi Dong Afaf Remani +1 lainnya

Abstrak

Additive manufacturing (AM) technology is considered one of the most promising manufacturing technologies in the aerospace and defense industries. However, AM components are known to have various internal defects, such as powder agglomeration, balling, porosity, internal cracks and thermal/internal stress, which can significantly affect the quality, mechanical properties and safety of final parts. Therefore, defect inspection methods are important for reducing manufactured defects and improving the surface quality and mechanical properties of AM components. This paper describes defect inspection technologies and their applications in AM processes. The architecture of defects in AM processes is reviewed. Traditional defect detection technology and the surface defect detection methods based on deep learning are summarized, and future aspects are suggested.

Penulis (6)

Y

Yao Chen

X

Xing Peng

L

Ling-hua Kong

G

Guangxi Dong

A

Afaf Remani

R

R. Leach

Format Sitasi

Chen, Y., Peng, X., Kong, L., Dong, G., Remani, A., Leach, R. (2021). Defect inspection technologies for additive manufacturing. https://doi.org/10.1088/2631-7990/abe0d0

Akses Cepat

Lihat di Sumber doi.org/10.1088/2631-7990/abe0d0
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
141×
Sumber Database
Semantic Scholar
DOI
10.1088/2631-7990/abe0d0
Akses
Open Access ✓