Advances in Online Detection Technology for Laser Additive Manufacturing: A Review

Rui Li Zu, Dong Liang Wu, Jiang Fan Zhou, Zhan Wei Liu*, Hui Min Xie, Sheng Liu*

*此作品的通讯作者

科研成果: 期刊稿件文献综述同行评审

6 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)467-489
页数23
期刊3D Printing and Additive Manufacturing
10
3
DOI
出版状态已出版 - 1 6月 2023

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