[HTML][HTML] Research and application of machine learning for additive manufacturing
Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …
Machine learning algorithms for defect detection in metal laser-based additive manufacturing: A review
Laser-based additive manufacturing (LBAM), a series of additive manufacturing
technologies, has unrivaled advantages due to its design freedom to manufacture complex …
technologies, has unrivaled advantages due to its design freedom to manufacture complex …
[HTML][HTML] Metal vaporization and its influence during laser powder bed fusion process
Laser powder bed fusion (LPBF) is a key metal additive manufacturing process and has
attracted increasing attention both in academia and industry. An essential physical issue …
attracted increasing attention both in academia and industry. An essential physical issue …
In-situ measurement and monitoring methods for metal powder bed fusion: an updated review
The possibility of using a variety of sensor signals acquired during metal powder bed fusion
processes, to support part and process qualification and for the early detection of anomalies …
processes, to support part and process qualification and for the early detection of anomalies …
A review of spatter in laser powder bed fusion additive manufacturing: In situ detection, generation, effects, and countermeasures
Spatter is an inherent, unpreventable, and undesired phenomenon in laser powder bed
fusion (L-PBF) additive manufacturing. Spatter behavior has an intrinsic correlation with the …
fusion (L-PBF) additive manufacturing. Spatter behavior has an intrinsic correlation with the …
Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review
Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …
Defect inspection technologies for additive manufacturing
Additive manufacturing (AM) technology is considered one of the most promising
manufacturing technologies in the aerospace and defense industries. However, AM …
manufacturing technologies in the aerospace and defense industries. However, AM …
Physics-informed machine learning and mechanistic modeling of additive manufacturing to reduce defects
In the past few decades, additive manufacturing has evolved for the one-step fabrication of
various complex, customized metallic components that cannot be easily and economically …
various complex, customized metallic components that cannot be easily and economically …
Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges
In recent years, machine learning (ML) techniques have been extensively investigated to
strengthen the understanding of the complex process dynamics underlying metal additive …
strengthen the understanding of the complex process dynamics underlying metal additive …
A systematic literature review on recent trends of machine learning applications in additive manufacturing
Additive manufacturing (AM) offers the advantage of producing complex parts more
efficiently and in a lesser production cycle time as compared to conventional subtractive …
efficiently and in a lesser production cycle time as compared to conventional subtractive …