Automated Defect Recognition for Additive Manufactured Parts Using Machine Perception and Visual Saliency
Author:
Affiliation:
1. Applied Research Laboratory, Pennsylvania State University, University Park, Pennsylvania, USA.
Publisher
Mary Ann Liebert Inc
Subject
Industrial and Manufacturing Engineering,Materials Science (miscellaneous)
Link
https://www.liebertpub.com/doi/pdf/10.1089/3dp.2021.0224
Reference24 articles.
1. The metallurgy and processing science of metal additive manufacturing
2. Relationship between unit cell type and porosity and the fatigue behavior of selective laser melted meta-biomaterials
3. The Effect of Manufacturing Defects on the Fatigue Behaviour of Ti-6Al-4V Specimens Fabricated Using Selective Laser Melting
4. Comparison of density measurement techniques for additive manufactured metallic parts
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