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Wang, Xiru and Braun, Moritz (2023) Fatigue strength assessment of additively manufactured AISI 316L specimens based on machine learning approaches. Bachelor's, Technische Universität Hamburg.
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| Item URL in elib: | https://elib.dlr.de/212950/ | ||||||||||||
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| Document Type: | Thesis (Bachelor's) | ||||||||||||
| Title: | Fatigue strength assessment of additively manufactured AISI 316L specimens based on machine learning approaches | ||||||||||||
| Authors: |
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| Date: | 2023 | ||||||||||||
| Open Access: | No | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | Fatigue strength assessment , additively manufactured specimens , machine learning , 316L | ||||||||||||
| Institution: | Technische Universität Hamburg | ||||||||||||
| Department: | Institute for Ship Structural Design and Analysis | ||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
| HGF - Program: | Transport | ||||||||||||
| HGF - Program Themes: | other | ||||||||||||
| DLR - Research area: | Transport | ||||||||||||
| DLR - Program: | V - no assignment | ||||||||||||
| DLR - Research theme (Project): | V - no assignment | ||||||||||||
| Location: | Geesthacht | ||||||||||||
| Institutes and Institutions: | Institute of Maritime Energy Systems | ||||||||||||
| Deposited By: | Schwickardi, Marike | ||||||||||||
| Deposited On: | 25 Feb 2025 08:39 | ||||||||||||
| Last Modified: | 25 Feb 2025 08:39 |
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