Machine learning-based identification of interpretable process-structure linkages in metal additive manufacturing-Reference-Cited by-同舟云学术

Machine learning-based identification of interpretable process-structure linkages in metal additive manufacturing

Published:2023-06 Issue: Volume:71 Page:103585
ISSN:2214-8604
Container-title:Additive Manufacturing
language:en
Short-container-title:Additive Manufacturing

Author:

Ackermann Marc^ORCID,Haase Christian^ORCID

Funder

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Engineering (miscellaneous),General Materials Science,Biomedical Engineering

Reference52 articles.

1. Additive manufacturing and its societal impact: a literature review;Huang;Int. J. Adv. Manuf. Technol.,2013

2. Additive manufacturing of metallic components – process, structure and properties;DebRoy;Prog. Mater. Sci.,2018

3. The metallurgy and processing science of metal additive manufacturing;Sames;Int. Mater. Rev.,2016

4. Additively manufactured hierarchical stainless steels with high strength and ductility;Wang;Nat. Mater.,2018

5. Understanding the process-microstructure correlations for tailoring the mechanical properties of L-PBF produced austenitic advanced high strength steel;Köhnen;Addit. Manuf.,2019

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