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Volume 3 Issue 2
Jan.  2021
Article Contents

Chen Y, Peng X, Kong L B, Dong G X, Remani A et al. Defect inspection technologies for additive manufacturing. Int. J. Extrem. Manuf. 3, 022002(2021).
Citation: Chen Y, Peng X, Kong L B, Dong G X, Remani A et al. Defect inspection technologies for additive manufacturing. Int. J. Extrem. Manuf. 3, 022002(2021).

Defect inspection technologies for additive manufacturing


doi: 10.1088/2631-7990/abe0d0
More Information
  • Publish Date: 2021-01-26
  • 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.

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Defect inspection technologies for additive manufacturing

doi: 10.1088/2631-7990/abe0d0
  • 1 Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Department of Optical Science and Engineering, Fudan University, Shanghai, People’s Republic of China
  • 2 Manufacturing Metrology Team, University of Nottingham, Nottingham, United Kingdom
  • 3 Co-first authors

Abstract: 

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.

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