Powder Bed Monitoring Using Semantic Image Segmentation to Detect Failures during 3D Metal Printing

Monitoring the metal Additive Manufacturing (AM) process is an important task within the scope of quality assurance. This article presents a method to gain insights into process quality by comparing the actual and target layers. Images of the powder bed were captured and segmented using an Xception–...

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Bibliographic Details
Main Authors: Anna-Maria Schmitt, Christian Sauer, Dennis Höfflin, Andreas Schiffler
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/9/4183