Online Monitoring Technology of Metal Powder Bed Fusion Processes: A Review

被引:17
作者
Hou, Zhuo-Jun [1 ]
Wang, Qing [1 ]
Zhao, Chen-Guang [1 ]
Zheng, Jun [1 ,2 ]
Tian, Ju-Mei [3 ]
Ge, Xiao-Hong [1 ]
Liu, Yuan-Gang [4 ]
机构
[1] Xiamen Univ Technol, Sch Mat Sci & Engn, Xiamen 361021, Peoples R China
[2] 3D METALWERKS Co Ltd, Xiamen 361021, Peoples R China
[3] Fujian Univ Stomatol Biomat, Xiamen Med Coll, Engn Res Ctr, Xiamen 361023, Peoples R China
[4] Huaqiao Univ, Coll Chem Engn, Xiamen 361021, Peoples R China
关键词
additive manufacturing; powder bed fusion; online monitoring; selective laser melting; electron beam melting; LASER MELTING PROCESS; ANOMALY DETECTION; FEEDBACK-CONTROL; DEFECT DETECTION; QUALITY-CONTROL; NEURAL-NETWORK; CLASSIFICATION; SIMULATION; PARAMETERS; SYSTEM;
D O I
10.3390/ma15217598
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Metal powder bed fusion (PBF) is an advanced metal additive manufacturing (AM) technology. Compared with traditional manufacturing techniques, PBF has a higher degree of design freedom. Currently, although PBF has received extensive attention in fields with high-quality standards such as aerospace and automotive, there are some disadvantages, namely poor process quality and insufficient stability, which make it difficult to apply the technology to the manufacture of critical components. In order to surmount these limitations, it is necessary to monitor the process. Online monitoring technology can detect defects in time and provide certain feedback control, so it can greatly enhance the stability of the process, thereby ensuring its quality of the process. This paper presents the current status of online monitoring technology of the metal PBF process from the aspects of powder recoating monitoring, powder bed inspection, building process monitoring, and melt layer detection. Some of the current limitations and future trends are then highlighted. The combination of these four-part monitoring methods can make the quality of PBF parts highly assured. We unanimously believe that this article can be helpful for future research on PBF process monitoring.
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页数:23
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