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

被引:6
|
作者
Li Zu, Rui [1 ]
Liang Wu, Dong [2 ]
Fan Zhou, Jiang [3 ]
Wei Liu, Zhan [1 ]
Xie, Hui Min [4 ]
Liu, Sheng
机构
[1] Beijing Inst Technol, Sch Aerosp Engn, Beijing, Peoples R China
[2] Beijing Inst Spacecraft Environm Engn, Beijing, Peoples R China
[3] Beijing Inst Struct & Environm Engn, Beijing, Peoples R China
[4] Tsinghua Univ, Dept Engn Mech, AML, Beijing, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
additive manufacturing; online detection; process monitoring and feedback control algorithms; MELT POOL TEMPERATURE; DENSIFICATION BEHAVIOR; FORMATION MECHANISMS; TENSILE PROPERTIES; DEFECT GENERATION; RESIDUAL-STRESSES; FATIGUE BEHAVIOR; FEEDBACK-CONTROL; QUALITY-CONTROL; PORE FORMATION;
D O I
10.1089/3dp.2021.0049
中图分类号
T [工业技术];
学科分类号
08 ;
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.</p>
引用
收藏
页码:467 / 489
页数:23
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