A Deep Learning Approach for the Identification of Small Process Shifts in Additive Manufacturing using 3D Point Clouds-Reference-Cited by-同舟云学术

A Deep Learning Approach for the Identification of Small Process Shifts in Additive Manufacturing using 3D Point Clouds

Published:2020 Issue: Volume:48 Page:770-775
ISSN:2351-9789
Container-title:Procedia Manufacturing
language:en
Short-container-title:Procedia Manufacturing

Author:

Ye Zehao,Liu Chenang,Tian Wenmeng,Kan Chen

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference24 articles.

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3. 3D biopriting of tissues and organs;Murphy;Nature Biotechnology,2014

4. Additive manufacturing of custom orthoses and prostheses-A review;Chen;Additive Manufacturing,2016

5. Strategic implications of current trends in additive manufacturing;Beyer;Journal of Manufacturing Science and Engineering,2014

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2. FAKEPCD: Fake Point Cloud Detection via Source Attribution;Proceedings of the 19th ACM Asia Conference on Computer and Communications Security;2024-07

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4. In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: A critical review;Journal of Manufacturing Systems;2024-06

5. Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning;Journal of Computing and Information Science in Engineering;2024-02-05