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At the Institute of Computational Physics, around 40 physicists, mathematicians and engineers work on the four main topics:
– Multiphysics Modeling,
– Electrochemical Cells and Microstructures,
– Organic Electronics and Photovoltaics, and
– Sensors and Measuring Systems.

Applied mathematics plays an important role in many of our projects, from the modeling of physical processes with differential equations, via the choice of numerical methods for simulations, to the post-processing of results and comparison with measured data. We will showcase these steps in two recent projects which involve mass transfer. The first project is about a solid-liquid separation process using a decanter centrifuge in the food industry, and the second project is about a dermatological investigation of the lymphatic system of mice by observing the diffusion of fluorescent particles in the skin.

Guest lecture by Dr. Christoph Kirsch (Zurich University of
Applied Sciences) on the 9th of September 2021

 

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    Guest lecture by Prof. Aimy Bazylak (University of Toronto) on the 15th of June 2021

 

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Mass transfer in gas/liquid systems is of prime interest for several areas (medicine, chemical engineering, environmental purpose, wastewater treatment, etc.). Some techniques enable a direct visualization of this complex phenomenon and thus represent a powerful tool for understanding the different mechanisms governing the mass transfer. The purpose of this presentation is to illustrate the combination of different techniques to visualize and quantify accurately both hydrodynamics and mass transfer around different gas/liquid interfaces. Specifics focuses are done on the atomization of droplets, formation of bubble in micro-channel and on the study of mass transfer in presence of surfactant in bubble columns.

    Guest lecture by Prof. Nicolas Dietrich (l) and Prof. Gilles Hebrard (r) (INSA Toulouse)          on the 1st of June 2021

 

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My research aims to provide fundamental explanations to sand behaviour phenomena that have been observed in laboratory experiments or in geotechnical engineering construction. Most of my research exploits DEM. This talk will focus on two strands of research. Firstly I will discuss some of the consideration we have given to the flow of water and suspended solids through sand. I will discuss how we have used CFD to identify how the pore-space topology determines sand permeability. I will also consider some of the challenges associated with using DEM-CFD in coupled simulations of dense, fluid saturated particle systems. The second part of the talk will look at bi-modal granular materials, i.e. mixtures comprising a large and a relatively small size fraction. The behaviour of these materials does not always confirm to the expected behaviour characteristics for sand. Some consideration has been given to meaning of packing density in these materials and we have recently looked at this using DEM. The variation in the way stress is transmitted amongst the different size fractions will also be discussed. Finally I will look at how the stress: deformation response varies with both the volumetric content of the finer particles and the size ratio of the two particle fractions.

    Guest lecture by Prof. Catherine O’Sullivan (Imperial College London) on the 11th of            May 2021

    Guest lecture by Prof. Harald Kruggel-Emden (TU-Berlin) on the 19th of February 2021

A multitude of engineering applications and physical problems are complex in nature and include a number of separate physical processes that all contribute to the entire application on usually different length and time scales. These applica-tions are as diverse as engineering, astrophysics, material science e.g. additive manufacturing, biology, energy e.g. biomass, environmental science, thermal processing and pharmaceutical industry to name a few. In order to understand the interaction between different physical processes, researchers combine existing models to represent multi-physics/scale applications. In particular, a class of multi-physics problems, that include a discrete phase as a particulate material that is in contact with a fluid phase is of large importance. A major challenge lies in coupling the granular material through heat, mass and momentum exchange to the fluid phase, sometimes a reacting multi-phase flow, so that the overall model is accurate enough and can be executed efficiently on modern computing resources including high performance computing (HPC).

    Guest lecture by Prof. Bernhard Peters (University of Luxembourg) on the 8th of                  December 2020

Researchers at the Otto-von-Guericke University Magdeburg, together with partners from the Ruhr University Bochum, want to reduce the enormous amount of energy and raw materials used in large-scale industrial particle production processes.

     06. July 2020

10 million euros for research against waste of resources

 

     29. May 2020