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/10.17863/cam.93077
Publication URI: https://www.repository.cam.ac.uk/handle/1810/345654
Type: Journal Article/Review