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| Funder | Vinnova |
|---|---|
| Recipient Organization | Linköping University |
| Country | Sweden |
| Start Date | Apr 15, 2024 |
| End Date | Apr 14, 2027 |
| Duration | 1,094 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swedish Research Council |
| Grant ID | 2024-00388_Vinnova |
Purpose and goal:
This project aims at developing a novel self-sensing Fiber Reinforced Polymer (FRP) vessel for high-pressure fuel storage. This innovation addresses the critical need for monitoring both the manufacturing process and the structural health of the vessel during its service life by integrating highly sensitive nano-composite (NC) based sensors into the FRPs during the winding process to enhance safety and performance in various industries.
Advanced modelling, and machine learning techniques optimize the smart FRP vessel, reducing material usage by topological optimization. Expected results and effects:
This project outlines an innovative approach to improve the safety and reliability of hydrogen fuel storage, a key component in the transition to cleaner, more sustainable energy sources. The project’s success could facilitate larger-scale hydrogen fuel usage, improve the longevity of service, and optimize fuel vessels, thereby positively impacting energy supply and emissions. The project’s results could also benefit gas storage vessels and other filament-wound components.
Approach and implementation:
ISIMON is a collaboration between Sweden (Linköping University, RISE and Composite Service Europe), Germany (Technical University of Chemnitz), and Latvia (Riga Technical University). It begins with addressing the sensor requirements for the nano-composite sensor. The focus then shifts to integrating the NC sensor into the Fiber Reinforced Polymer (FRP), ensuring seamless integration and optimal Structural Health Monitoring (SHM) capabilities.
Smart-FRP prototypes will be then tested and adjusted as needed. In the final stage, the smart-FRP prototypes will be validated.
Linköping University
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