Investigation into composite materials for aerospace

Project Details

Description

This project will investigate composites using 2D materials, employing deep learning artificial intelligence (AI) tools. Embedding 2D materials, such as graphene nanoplatelets, in natural fibre composite materials should enhance their performance.

Deep learning AI can provide the appropriate computational tool to accomplish this improvement in material design and performance with less effort and cost. The application of deep learning could solve design problems more effectively than traditional methods.

This project aims to design advanced bio-based composite materials using plant-based fibres (flax, hemp, kenaf) and bio-based polymers (PLA, PHA, PBS), employing novel enhancement technologies using 2D materials (i.e. graphene), to provide significant reinforcement to the final material.

Deep-learning AI methods have proved to be promising in predicting optimal material design and manufacturing, that can lead to sustainable-by-design products. This project will investigate novel approaches in the design and manufacturing of advanced bio-based composites.

Key findings

Does embedding 2D materials, such as graphene nanoplatelets, in natural fibre composite materials enhance their performance?

Can the application of deep learning solve design problems more effectively than traditional methods in this area?

Can AI provide a cost-effective and cost-competitive manufacturing process for advanced composites?

OUTPUT:

Some bio-based composite materials will be designed.
Short titleCMA
StatusActive
Effective start/end date1/11/2115/01/24

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