We develop advanced mathematical and numerical models for the simulation of industrial and environmental processes


  • Finite-volume methods
  • Lattice-Boltzmann methods
  • Lagrangian particle-tracking
  • Multiphase, Eulerian-Eulerian solvers
  • Artificial Neural Networks
  • Genetic algorithms
  • OpenFOAM (TM)


  • Domestic gas burners (cooktop, heaters)
  • Powerstation boilers, windboxes, heat exchangers
  • Flue-gas desulphurisation units
  • Automotive heat exchangers
  • Fluidized bed combustion
  • Aeroturbine combustion chambers
  • Desuperheating units
  • Heat recovery units
  • Aluminum coil annealing
  • Klinker furnaces in cement plants

Not just CFD...

... Fluids Engineering

We use CFD as a tool to investigate optimal solutions to practical industrial problems involving
fluid flow,
heat transfer,
chemical reaction

Our CFD Projects, Theses, Papers


Representation of chemical kinetics using Artificial Neural Networks for the simulation of turbulent reactive flows

By Javier A Blasco, Jul 2000. This thesis addresses the pioneering application of Artificial Neural Networks (ANN's) to the representation of the thermochemistry in for the simulation of turbulent combustion. The thermochemical space is automatically divided into regions using a Self-Organizing Map, and then each region is modeled with a multi-layer preceptron. (In Spanish)


Numerical simulation of instabilities in gas-liquid interfases

By Enrique López-Pages, Feb 2000. The triggering and development of instabilities at the separating surface (interface) between two streams of liquid and a gas, downstream of dividing plates with infinitesimally thin and thick train edges are studied in this Thesis. It uses the Volume of Fluid (VOF) in order to locate and follow the liquid-gas interface, and the Continuum Surface Force method to model the effects of the surface tension force.