Hybrid data-driven feature extraction-enabled surface modeling for metal additive manufacturing

Metal additive manufacturing (AM) has become popular in a large variety of applications due to its excellent capabilities of handling complex geometries and novel materials. However, due to its process complexity, layer-wise surface quality issue is still one of the critical concerns to further broa...

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Veröffentlicht in:	International journal of advanced manufacturing technology Jg. 121; H. 7-8; S. 4643 - 4662
Hauptverfasser:	Shi, Zhangyue, Mandal, Soumya, Harimkar, Sandip, Liu, Chenang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.08.2022
Schlagworte:	CAE) and Design Computer-Aided Engineering (CAD Engineering Industrial and Production Engineering Mechanical Engineering Media Management Original Article Surface modeling Robust convolutional autoencoder Additive manufacturing Hybrid feature extraction Machine learning
ISSN:	0268-3768, 1433-3015
Online-Zugang:	Volltext
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