Abstract
Additive manufacturing allows designers to create geometries that would not be possible or economical to manufacture using traditional manufacturing processes. Production with these technologies does, however, introduce a large amount of variation and additional unknowns. These random variations from idealized geometry or material properties can harm the performance of the design. The current work presents an approach to improve the fatigue life of such structures, and simultaneously reduce its influence from random variations in local thickness. Following an initial numerical study, the results are experimentally validated. Experimental results show a significant improvement in fatigue life in the redesigned sample with a tailored thickness distribution.
Original language | English |
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Pages (from-to) | 1225-1238 |
Number of pages | 14 |
Journal | Progress in Additive Manufacturing |
Volume | 7 |
Issue number | 6 |
DOIs | |
Publication status | Published - 18 Apr 2022 |
Bibliographical note
Funding Information:Open Access funding enabled and organized by Projekt DEAL. We would like to acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy-EXC 2163/1- Sustainable and Energy Efficient Aviation-Project-ID 390881007.
Publisher Copyright:
© 2022, The Author(s).
Keywords
- Random field
- Robust design
- Fatigue improvement
- Thickness tailoring
- Additive manufacturing