MAIN RESEARCH LINES
- Virtual testing of structural composites.
- Analysis of the effect of manufacturing defects on structural performance.
- Virtual processing of structural composites including hot-forming and out-of-autoclave (injection, infusion, compression moulding).
- Surrogate and reduced order models for manufacturing based on multiphysics simulations.
- AI techniques applied to manufacturing.
- Digital twins for manufacturing processes.
- Smart detection of defects by sensors including the active control of manufacturing systems.
- Structural health monitoring (SHM) with carbon nanotube yarns integrated sensors. Automated damage detection models based on AI.
- AI-guided materials design and chemical process.
- Electric current-assisted curing for bondings and repairs.
- Multifunctional composites for structural and energy storage applications.
- Gas-phase assembly of continuous fabrics and fibres of carbon nanotubes and inorganic nanowires (Si, SiC).
- Integration of these nanostructured fabrics into electrochemical devices and composite materials.
- Rapid alloy prototyping and manufacturing of bulk alloy libraries for the fast assessment of properties.
- Optimisation of casting processes.
- Development of novel thermo-mechanical processes and powder metallurgy routes via mechanical alloying and gas atomization in non-oxidation conditions.
- Consolidation by field-assisted sintering and conventional press and sintering.
- Metallic materials, including powder design, fabrication and characterization.
- Composites, polymers, recycled fibers and hybrids.
- PLA composite materials reinforced with Mg, Zn or CaPs nanoparticles and continuous metallic wires.
- Development of functional thermoplastic filaments (flame retardant, thermal conductive, biodegradable, reinforced, electrically conductive, etc) for 3D printing.
- Data-driven design of 3D printed metamaterials.
- Custom-made implants using new biocompatible alloys.
- Stereolithography, including resin synthesis and characterization.
- Extrusion-based 3D printing of biomaterials and bioprinting.
- Predictive simulation.
- In-situ monitoring.
