TY - JOUR
T1 - Advances in Online Detection Technology for Laser Additive Manufacturing
T2 - A Review
AU - Li Zu, Rui
AU - Liang Wu, Dong
AU - Fan Zhou, Jiang
AU - Liu, Zhan Wei
AU - Xie, Hui Min
AU - Liu, Sheng
N1 - Publisher Copyright:
© Copyright 2023, Mary Ann Liebert, Inc., publishers 2023.
PY - 2023/6/1
Y1 - 2023/6/1
N2 - In additive manufacturing (AM), the mechanical properties of manufactured parts are often insufficient due to complex defects and residual stresses, limiting their use in high-value or mission-critical applications. Therefore, the research and application of nondestructive testing (NDT) technologies to identify defects in AM are becoming increasingly urgent. This article reviews the recent progress in online detection technologies in AM, a special introduction to the high-speed synchrotron X-ray technology for real-time in situ observation, and analysis of defect formation processes in the past 5 years, and also discusses the latest research efforts involving process monitoring and feedback control algorithms. The formation mechanism of different defects and the influence of process parameters on defect formation, important parameters such as defect spatial resolution, detection speed, and scope of application of common NDT methods, and the defect types, advantages, and disadvantages associated with current online detection methods for monitoring three-dimensional printing processes are summarized. In response to the development requirements of AM technology, the most promising trends in online detection are also prospected. This review aims to serve as a reference and guidance for the work to identify/select the most suitable measurement methods and corresponding control strategy for online detection.
AB - In additive manufacturing (AM), the mechanical properties of manufactured parts are often insufficient due to complex defects and residual stresses, limiting their use in high-value or mission-critical applications. Therefore, the research and application of nondestructive testing (NDT) technologies to identify defects in AM are becoming increasingly urgent. This article reviews the recent progress in online detection technologies in AM, a special introduction to the high-speed synchrotron X-ray technology for real-time in situ observation, and analysis of defect formation processes in the past 5 years, and also discusses the latest research efforts involving process monitoring and feedback control algorithms. The formation mechanism of different defects and the influence of process parameters on defect formation, important parameters such as defect spatial resolution, detection speed, and scope of application of common NDT methods, and the defect types, advantages, and disadvantages associated with current online detection methods for monitoring three-dimensional printing processes are summarized. In response to the development requirements of AM technology, the most promising trends in online detection are also prospected. This review aims to serve as a reference and guidance for the work to identify/select the most suitable measurement methods and corresponding control strategy for online detection.
KW - additive manufacturing
KW - online detection
KW - process monitoring and feedback control algorithms
UR - http://www.scopus.com/inward/record.url?scp=85146503577&partnerID=8YFLogxK
U2 - 10.1089/3dp.2021.0049
DO - 10.1089/3dp.2021.0049
M3 - Review article
AN - SCOPUS:85146503577
SN - 2329-7662
VL - 10
SP - 467
EP - 489
JO - 3D Printing and Additive Manufacturing
JF - 3D Printing and Additive Manufacturing
IS - 3
ER -