Additive manufacturing (AM) has gained increasing popularity in a large variety of mission- critical fields, such as aerospace, medical, and transportation. The layer-by-layer fabrication …
Supervised machine learning techniques, such as classification models, have been widely applied to online process anomaly detection in advanced manufacturing. However, since …
Additive manufacturing (AM) has received an increasing attention in the manufacturing sector, owing to its high-level design freedom and enhanced capability to produce parts with …
In order to overcome the complexities encountered in sensing devices with data collection, transmission, storage and analysis toward condition monitoring, estimation and control …
Layer-wise surface morphology information plays a critical role in the quality monitoring and control of additive manufacturing (AM) processes. 3D scan technologies can provide …
In cyber-physical systems (CPS) of additive manufacturing (AM), cyber-attacks may significantly alter the design of the AM part, compromising its mechanical properties and …
J Chung, B Shen, ZJ Kong - Journal of Intelligent Manufacturing, 2024 - Springer
Supervised classification methods have been widely utilized for the quality assurance of the advanced manufacturing process, such as additive manufacturing (AM) for anomaly …
Laser powder bed fusion is a promising technology for local deposition and microstructure control, but it suffers from defects such as delamination and porosity due to the lack of …
Additive manufacturing (AM) is growing tremendously through its introduction into various industries over recent years, because of its capability of fabricating objects with complex …