Details
| Original language | English |
|---|---|
| Pages (from-to) | 1225-1238 |
| Number of pages | 14 |
| Journal | Progress in Additive Manufacturing |
| Volume | 7 |
| Issue number | 6 |
| Early online date | 18 Apr 2022 |
| Publication status | Published - Dec 2022 |
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.
Keywords
- Additive manufacturing, Fatigue improvement, Random field, Robust design, Thickness tailoring
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Progress in Additive Manufacturing, Vol. 7, No. 6, 12.2022, p. 1225-1238.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Improving the fatigue life of printed structures using stochastic variations
AU - van den Broek, Sander
AU - Wolff, Johannes
AU - Scheffler, Sven
AU - Hühne, Christian
AU - Rolfes, Raimund
N1 - 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.
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
KW - Additive manufacturing
KW - Fatigue improvement
KW - Random field
KW - Robust design
KW - Thickness tailoring
UR - http://www.scopus.com/inward/record.url?scp=85128382390&partnerID=8YFLogxK
U2 - 10.1007/s40964-022-00296-5
DO - 10.1007/s40964-022-00296-5
M3 - Article
AN - SCOPUS:85128382390
VL - 7
SP - 1225
EP - 1238
JO - Progress in Additive Manufacturing
JF - Progress in Additive Manufacturing
SN - 2363-9512
IS - 6
ER -