Machine learning-based prediction of the non-linear response of composite material microstructures under in-service conditions
2022 - 2024
| Recognition Type | Awards and prizes (internal) |
|---|---|
| Description | Composite materials will play a crucial role in achieving the UK government’s net-zero carbon targets through sustainable materials. The composites made structural batteries and liquid hydrogen storage tanks experience different in-service conditions, i.e., temperature and humidity. In this context, the current proposal aims to deploy digital tools to drive enhanced material design while establishing structure-property-response relationships in multiphase composite materials. |
| Affiliated Organisations | The University of Salford |
| Research Centres/Groups | Centre for Future Engineering |
| Org Units | School of Science, Engineering & Environment |