Highly Productive 3D Printing Process to Transcend Intractability in Materials and Geometries via Interactive Machine‐Learning‐Based Technique

Highly Productive 3D Printing Process to Transcend Intractability in Materials and Geometries via Interactive Machine‐Learning‐Based Technique

Herein, a highly productive and defect‐free 3D‐printing system enforced by deep‐learning (DL)‐based anomaly detection and reinforcement‐learning (RL)‐based optimization processes is developed. Unpredictable defect factors, such as machine setting errors or unexpected material flow, are analyzed by i...

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Bibliographic Details
Main Authors: Yuseok Kim, Suk Hee Park
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:Advanced Intelligent Systems
Subjects:
deep learning
defect control
reinforcement learning
variational autoencoder; 3D printing
Online Access:https://doi.org/10.1002/aisy.202200462

Internet

https://doi.org/10.1002/aisy.202200462

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