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Topical Review | Open Access

Defect inspection technologies for additive manufacturing

Yao Chen3,1Xing Peng3,1Lingbao Kong1 ( )Guangxi Dong1Afaf Remani2Richard Leach2
Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Department of Optical Science and Engineering, Fudan University, Shanghai, People’s Republic of China
Manufacturing Metrology Team, University of Nottingham, Nottingham, United Kingdom

3Co-first authors.

Show Author Information

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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International Journal of Extreme Manufacturing
Pages 022002-022002
Cite this article:
Chen Y, Peng X, Kong L, et al. Defect inspection technologies for additive manufacturing. International Journal of Extreme Manufacturing, 2021, 3(2): 022002. https://doi.org/10.1088/2631-7990/abe0d0

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Received: 21 September 2020
Revised: 19 December 2020
Accepted: 28 January 2021
Published: 03 March 2021
© 2021 The Author(s).

Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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