Automated Real‐Time Detection and Prediction of Interlayer Imperfections in Additive Manufacturing Processes Using Artificial Intelligence

Automated Real‐Time Detection and Prediction of Interlayer Imperfections in Additive Manufacturing Processes Using Artificial Intelligence

Although fused deposition modeling (FDM) additive manufacturing technologies have advanced in the past decade, interlayer imperfections such as delamination and warping are still dominant when printing complex parts. Herein, a self‐monitoring system based on real‐time camera images and deep learning...

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Bibliographic Details
Main Authors: Zeqing Jin, Zhizhou Zhang, Grace X. Gu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Advanced Intelligent Systems
Subjects:
additive manufacturing
computer vision
convolutional neural networks
fused deposition modeling
machine learning
Online Access:https://doi.org/10.1002/aisy.201900130

Internet

https://doi.org/10.1002/aisy.201900130

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