Process Monitoring in Friction Stir Welding Using Convolutional Neural Networks

Preliminary studies have shown the superiority of convolutional neural networks (CNNs) compared to other network architectures for determining the surface quality of friction stir welds. In this paper, CNNs were employed to detect cavities inside friction stir welds by evaluating inline measured pro...

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Bibliographic Details
Main Authors: Roman Hartl, Andreas Bachmann, Jan Bernd Habedank, Thomas Semm, Michael F. Zaeh
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Metals
Subjects:
Online Access:https://www.mdpi.com/2075-4701/11/4/535