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  4. Optimization and probabilistic analysis of structures optimized for topology and smoothly varying material orientations
 
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Optimization and probabilistic analysis of structures optimized for topology and smoothly varying material orientations

Publikationstyp
Conference Presentation
Date Issued
2023-06-06
Sprache
English
Author(s)
Steltner, Kai  orcid-logo
Strukturmechanik im Leichtbau M-24  
Kriegesmann, Benedikt  orcid-logo
Strukturmechanik im Leichtbau M-24  
TORE-URI
https://hdl.handle.net/11420/47688
Citation
15th World Congress on Structural and Multidisciplinary Optimization (WCSMO 2023)
Contribution to Conference
15th World Congress on Structural and Multidisciplinary Optimization, WCSMO 2023  
Cites
10.1007/s00158-020-02657-6
Modern robot-based additive manufacturing (AM) setups enable material deposition on curved surfaces in contrast to conventional flat printing planes. This has been applied to 3D printing of carbon fiber reinforced plastic (CFRP) parts. To align the printing paths with the optimal fiber orientation, principal stress directions can be used to derive the curved planes. This method fails to provide optimal printed material orientations in the presence of multiple load cases.

The current work presents an approach for simultaneous topology and material orientation optimization. The method is designed to deliver material layouts optimized for multiple load cases as well as being well suited for the following AM process, specifically the generation of curved printing layers and continuous tool paths.

Additionally, the optimized structures are analyzed for robustness with respect to the scatter of material orientations. The mean and standard deviation of their compliance are determined using the Monte Carlo method as well as efficient Taylor-based methods. The probabilistic analyses allow for applying Robust Design Optimization (RDO) methods to the simultaneous topology and material orientation optimization to reduce loss of performance due to the interpretation of the optimized material layout for the printing process.
DDC Class
624: Civil Engineering, Environmental Engineering
Funding(s)
I³-Projekt - Optimized design and production of individual 3D printed continuous fibre composite structures for the reinforcement, repair and joining of lightweight components  
Funding Organisations
Hamburg University of Technology  
TUHH
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