Rapidly predicting the effect of tool geometry on the wrinkling of biaxial NCFs during composites manufacturing using a deep learning surrogate model (2023)
Attributed to:
THE FUTURE COMPOSITES MANUFACTURING HUB
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.compositesb.2023.110536
Publication URI: http://dx.doi.org/10.1016/j.compositesb.2023.110536
Type: Journal Article/Review
Parent Publication: Composites Part B: Engineering