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arxiv logo>cs> arXiv:2404.16650
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Computer Science > Computational Engineering, Finance, and Science

arXiv:2404.16650 (cs)
[Submitted on 25 Apr 2024 (v1), last revised 14 Aug 2024 (this version, v2)]

Title:Design optimization of advanced tow-steered composites with manufacturing constraints

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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.
Comments:29 pages, 16 figures
Subjects:Computational Engineering, Finance, and Science (cs.CE)
Cite as:arXiv:2404.16650 [cs.CE]
 (orarXiv:2404.16650v2 [cs.CE] for this version)
 https://doi.org/10.48550/arXiv.2404.16650
arXiv-issued DOI via DataCite
Journal reference:Composites Part B: Engineering. 284(2024) 111739
Related DOI:https://doi.org/10.1016/j.compositesb.2024.111739
DOI(s) linking to related resources

Submission history

From: Chuan Luo [view email]
[v1] Thu, 25 Apr 2024 14:41:53 UTC (2,863 KB)
[v2] Wed, 14 Aug 2024 22:35:27 UTC (2,863 KB)
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