
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.
Variational Autoencoder, Variational Alignment Framework, Laminate Stacking, Permeability
Variational Autoencoder, Variational Alignment Framework, Laminate Stacking, Permeability
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