A deep mixed-effects modeling approach for real-time monitoring of metal additive manufacturing process
Author:
Affiliation:
1. Department of Industrial Engineering and Management, Peking University, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/24725854.2023.2192252
Reference51 articles.
1. Alberts, D., Schwarze, D. and Witt, G. (2017) In situ melt pool monitoring and the correlation to part density of Inconel® 718 for quality assurance in selective laser melting, in Proceedings of the 2017 International Solid Freeform Fabrication Symposium, The University of Texas at Austin, Austin, TX, pp. 1481–1494.
2. Correlation of selective laser melting-melt pool events with the tensile properties of Ti-6Al-4V ELI processed by laser powder bed fusion
3. A Phase I Cluster-Based Method for Analyzing Nonparametric Profiles
4. Process monitoring and inspection systems in metal additive manufacturing: Status and applications
5. A framework for nonparametric profile monitoring
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