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Glow Eindhoven 2016 - INFLUX experiment
In collaboration with the ILI, our INFLUX crowd flows experiment during Glow Eindhoven 2016
"When a light is turned on, the light itself starts to move and pushes away the darkness by flowing into every nook and cranny. During this process, the light doesn’t move freely but is influenced by the surfaces and edges of the area. Such an influence could never be possible without visual perception. Whenever a large group of people starts moving, you can also speak of a flow. Such crowd flows are also influenced by the physical surroundings, among which: light.
At the Markthal, the Intelligent Lighting Institute of the University of Technology researches the influence of light on the behaviour of human beings. The Markthal is a Living Lab, not the traditionally hidden laboratory in the dark corners of the academy, but a lab in the real, living- and working environment of people.
During GLOW, the Markthal will be all about the flow of people and the flow of light. Enjoy the dynamic light patterns at the Markthal and discover how light affects the crowd flows."
From: http://www.gloweindhoven.nl
For more information: http://www.gloweindhoven.nl/nl/glow-projecten/glow-next/influx
3MT120 - Advanced Computational Fluid and Plasma Dynamics
The course guides students to the hand-on discovery of several classical numerical methods commonly used to study the dynamics of fluids and plasmas: from continuum computational fluid dynamics (CFD) approaches (Spectral and finite volume), to the Lattice Boltzmann (LBM), particles based methods (Molecular Dynamics, Brownian and Stokesian dynamics) and Particle-in-cell Monte Carlo (PIC-MC).
Dario Maggiolo
Nowadays, electrochemical energy storage systems for renewable sources are gaining much attention throughout the world. Fuel Cells are one of the most popular renewable energy converters.
Water management is crucial inside Fuel Cells because water condensates and eventually clogs the diffusion layers, leading to high mass transport losses and limiting their performances, especially at high current density.
The Lattice-Boltzmann Method is being applied to accurately solve the complex two-phase, temperature-dependent, flow field inside reconstructed carbon-fiber porous media and diffusion channels, leading to a thermodynamically consistent simulation of condensation phenomena inside Fuel Cells.
The typical dimensionless numbers (e.g. Reynolds and Rayleigh numbers), the hydrophobicity, and the design of the cell, are being varied in order to gain insight into and predict the condensation and cumulation of liquid water inside Fuel Cells.