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Abstract
Tow steering technologies, such as automated fiber placement, enable the
fabrication of composite laminates with curvilinear fiber, tow, or tape
paths. Designers may therefore tailor tow orientations locally
according to the expected local stress state within a structure, such
that strong and stiff orientations of the tow are (for example)
optimized to provide maximal mechanical benefit. Tow path optimization
can be an effective tool in automating this design process, yet has a
tendency to create complex designs that may be challenging to
manufacture. In the context of tow steering, these complexities can
manifest in defects such as tow wrinkling, gaps, overlaps. In this work,
we implement manufacturing constraints within the tow path optimization
formulation to restrict the minimum tow turning radius and the maximum
density of gaps between and overlaps of tows. This is achieved by
bounding the local value of the curl and divergence of the vector field
associated with the tow orientations. The resulting local constraints
are effectively enforced in the optimization framework through the
Augmented Lagrangian method. The resulting optimization methodology is
demonstrated by designing 2D and 3D structures with optimized tow
orientation paths that maximize stiffness (minimize compliance)
considering various levels of manufacturing restrictions. The optimized
tow paths are shown to be structurally efficient and to respect imposed
manufacturing constraints. As expected, the more geometrical complexity
that can be achieved by the feedstock tow and placement technology, the
higher the stiffness of the resulting optimized design.
Original language | English |
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Article number | 111739 |
Journal | Composites Part B: Engineering |
Volume | 284 |
Number of pages | 16 |
ISSN | 1359-8368 |
DOIs | |
Publication status | Published - 2024 |
Keywords
- Composite laminates
- Manufacturing constraints
- Optimization
- Tow steering
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Dive into the research topics of 'Design optimization of advanced tow-steered composites with manufacturing constraints'. Together they form a unique fingerprint.Projects
- 1 Finished
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InnoTop: InnoTop, Interactive, Non-Linear, High-Resolution Topology Optimization
Sigmund, O. (Project Coordinator), Petersen, M. L. (Project Manager), Carlberg, L. K. (Project Manager), Aage, N. (Project Participant), Andreasen, C. S. (Project Participant), Wang, F. (Project Participant), Bærentzen, J. A. (Project Participant) & Assentoft, D. (Project Manager)
01/09/2017 → 31/08/2024
Project: Research