Family learning: A process modeling method for cyber-additive manufacturing network

A Cyber-Additive Manufacturing Network (CAMNet) integrates connected additive manufacturing processes with advanced data analytics as computation services to support personalized product realization. However, highly personalized product designs (e.g., geometries) in CAMNet limit the sample size for...

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Veröffentlicht in:	IIE transactions 2021-10, Vol.54 (1), p.1-16
Hauptverfasser:	Wang, Lening, Chen, Xiaoyu, Henkel, Daniel, Jin, Ran
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Additive manufacturing Computation Customization Cyber-manufacturing system Design factors Laser beam melting Learning Manufacturing Model accuracy quality modeling selective laser melting
Online-Zugang:	Volltext
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