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...

Celý popis

Podrobná bibliografie

Vydáno v:	International journal of advanced manufacturing technology Ročník 121; číslo 7-8; s. 4643 - 4662
Hlavní autoři:	Shi, Zhangyue, Mandal, Soumya, Harimkar, Sandip, Liu, Chenang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.08.2022
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!