Ongoing research projects


Ongoing research projects in iMMC (August 2020)

This a short description of research projects which are presently under progress in iMMC.
Hereunder, you may select one research direction or choose to apply another filter:

Biomedical engineering

Computational science

Civil and environmental engineering

Dynamical and electromechanical systems


Fluid mechanics

Processing and characterisation of materials

Chemical engineering

Solid mechanics

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List of projects related to: reaction engineering

Researcher: Quentin de Radiguès de Chennevières
Supervisor(s): Joris Proost

is working in the field of the energy transition. In order to increase the share of renewable energies, new ways of storing electricity have to be developed. Hydrogen has the advantage to be able to store energy over a long time while it can be used as fuel for vehicles. In his Ph.D. thesis on Process Intensification in electrochemical reactors defended in december 2016, he has developed a new technology to reduced the cost of alcaline water electrolysis for hydrogen production. He is now applying this technology on a pilot plant scale.

DNS of reacting particle flows for mesoscale modeling
Researcher: Baptiste Hardy
Supervisor(s): Juray De Wilde, Grégoire Winckelmans

Gas-solid flows are encountered in many natural and industrial phenomena. Fluidized beds are the most well known application of gas-solid reactors in the chemical industry (catalytic cracking, biomass conversion,...).
However, the simulation of such equipments at large scale is still an issue due to the tracking of billions of particles carrying the reaction while interacting with the gas flow. Eulerian-Eulerian models are currently very popular because they describe the solid phase as a continuum, hence drastically lowering the computational cost. Though, these models require closure relations for momentum, heat and mass transfer, often obtained on empirical bases.
The goal of this research is to extract closure laws from Direct Numerical Simulations at particle scale using the Immersed Boundary Method in order to provide new mesoscale models built on physical grounds.