AICE-ITC
Non-Academic
Experts in:
Modeling and simulation
- Fluids: gases, liquids.
- Combustion.
- Thermal or thermodynamic.
- Mechanical or structural.
- Simulation and modelling of particulate matter using the discrete element method (DEM).
Artificial intelligence
- Development of digital twins.
- Machine learning.
- Automatic learning.
Computing
- Programming in scientific languages: Fortran, C, C++, Python, Matlab, R.
- Use of free software packages.
- Parallelisation of algorithms.
- GPU programming.
- High performance computing.
Ámbitos de experiencia:
Challenge 3: Energy
- Numerical simulation of heat transfer and combustion processes.
Use cases:
MOULDFEED
“Study and modelling of the rheological behaviour of powdery ceramic materials during mould filling”. ABSTRACT: A software for the simulation of the rheological behaviour of particulate material was developed. Thanks to this software, new atomised powder feeding systems were designed in the ceramic industry.
Software link: http://www.scaledem.org
INTGEOTHER
“Development of an integrated tool for the safe and efficient implementation of shallow geothermal energy harvesting systems”.
ABSTRACT: Development of a simplified heat exchange model for the preliminary assessment of the suitability of a low enthalpy geothermal installation based on energy needs and ground properties.
SINTERSIM
“Modelling the sintering of ceramic tiles using the SOVS model”.
ABSTRACT: Development of a ceramic tile sintering model to evaluate the shrinkage, densification and curvature of tiles during firing and cooling.
TWINXIndustry
“Research and development of a methodology for the implementation of digital twins in key manufacturing processes for the Valencian industrial fabric”.
SUMMARY: development of an ad-hoc discrete event simulation tool in Java. It also includes the creation of an OPC-UA client for data exchange and interconnectivity between the model and the plant. The tool can be used as a digital twin in ceramic tile manufacturing.
More information: Boix, J., Mallol, G., Tiscar, J.M., Cantero, J.I., Olmedilla, A., Vinaroz, M. Discrete event modelling and simulation of the ceramic tile manufacturing process. Qualicer, 2020.
