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Tribo-dynamics for a 3D-printed Multilattice structure-based air-foil bearing
Usman, Ali
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
ORCID iD:
0000-0002-2686-534X
Liwicki, Marcus
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
ORCID iD:
0000-0003-4029-6574
Almqvist, Andreas
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
ORCID iD:
0000-0001-7029-1112
2022 (English)
In:
23rd International Colloquium Tribology - Industrial and Automotive Lubrication – conference proceedings 2022 / [ed] Arshia Fatemi; Andreas Pauschitz; Ksenija Topolovec-Miklozic, Expert Verlag GmbH , 2022, p. 255-257
Conference paper, Oral presentation with published abstract (Other academic)
Place, publisher, year, edition, pages
Expert Verlag GmbH , 2022. p. 255-257
National Category
Other Mechanical Engineering
Research subject
Machine Learning; Machine Elements
Identifiers
URN:
urn:nbn:se:ltu:diva-90162
OAI: oai:DiVA.org:ltu-90162
DiVA, id:
diva2:1651522
Conference
23rd International Colloquium Tribology, Stuttgart/Ostfildem (Online), Germany, January 25-27, 2022
Note
ISBN of host publication: 978-3-8169-3547-6 (Print), 978-3-8169-8547-1 (Electronic)
Available from:
2022-04-12
Created:
2022-04-12
Last updated:
2025-02-14
Bibliographically approved
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Usman, Ali
Liwicki, Marcus
Almqvist, Andreas
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modern-language-association-8th-edition
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