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.

https://thelfer.github.io/tfel/web/sovs.html

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.

Contact us

Tell us your projects or needs and we will look for ways to collaborate

Free consultation
(+34) 881 813 373