AIMEN
Non-Academic
Experts in:
Modeling and simulation
- Mechanical or structural.
- Thermal or Thermodynamic.
- From manufacturing processes: injection, stamping, forging, additive manufacturing, etc.
- Electronic and/or electromagnetic.
- Fluid: gases, liquids.
- Fluid-structure interaction.
- Acoustic or Vibroacoustic.
- Combustion.
- Multiphysical phenomena.
- Simulation of manufacturing process: welding.
Optimization
- Product optimization.
- Process optimization.
- Optimisation of industrial and business processes.
Artificial intelligence
- Development of digital twins.
- Hybrid models based on data and physics.
- Machine learning.
- Deep learning.
- Neural networks
Areas of experience:
Challenge 3: Energy
- Numerical simulation of heat transfer and combustion processes.
- Numerical simulation of thermoelectric, thermomagnetic and thermomechanical processes.
Challenge 5: Environment
- Simulation, prediction and control of pollutant emissions.
Use cases:
Demister
Development of ad-hoc designs of industrial demisters to minimise the environmental impact of water vapour emissions into the atmosphere. We have developed demisters associated with energy production plants, taking into account the external climatology and the complex operation of the boiler. Adapting the final design to the particular needs of each plant.
Photovoltaic solar panels
Development of integral projects associated with the design, manufacture and installation of photovoltaic solar parks, taking into account the orography of the terrain, aeroelastic phenomena and the location of the park and each panel inside the park. Numerical models have been developed to predict static and dynamic loads and their use for the design of new generations of optimised photovoltaic structures.
Industrial flat equipment
Design of heavy equipment for industrial energy/Oil&gas production plants.
Participation in projects for the analysis of critical components including the redesign of these components for their replacement in existing plants with new, safer and more efficient designs. Determination of stresses to which these components are subjected including static, dynamic and eventual/accidental stresses, coupling fluid dynamic, mechanical and vibroacoustic models.
