范围(计算机科学)
过程(计算)
限制
计算机科学
无损检测
系统工程
新兴技术
制造工程
工程类
机械工程
人工智能
医学
操作系统
放射科
程序设计语言
作者
R. L. Zu,Dong Wu,Jiang Fan Zhou,Zhanwei Liu,Hui Xie,Sheng Liu
出处
期刊:3D printing and additive manufacturing
[Mary Ann Liebert]
日期:2023-06-01
卷期号:10 (3): 467-489
标识
DOI:10.1089/3dp.2021.0049
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.
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