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Project deliverable . 2025
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2025
License: CC BY
Data sources: Datacite
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Topology optimization open-source code

Authors: TU Delft;

Topology optimization open-source code

Abstract

This document introduces a novel methodology designed to improve the permeability of cross-plylaminates, with the potential for extension to multidirectional laminates. The approach leverages a comprehensive dataset generated using the model developed in Deliverable D3.2. A variational alignment framework was employed to map permeability patterns and determine optimal fiber roving positions. This enables the adjustment of fiber roving placement in subsequent layers, significantly improving the permeability of the laminate as the stacking continues. The results demonstrate the potential of the proposed methodology, showcasing its ability to increase the mean permeability while reducing its variability. These enhancements not only improve resin flow during manufacturing but also contribute to better mechanical performance and more consistent laminate quality by reducing the risk of defect formation.

Keywords

Variational Autoencoder, Variational Alignment Framework, Laminate Stacking, Permeability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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