Master thesis: DEM material recalibration
Paul Wurth
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source : Moovijob

Master thesis : DEM material recalibration (m / f)

Description :

Master thesis for the duration of 6 months on the following topic :

A blast furnace is a continuously operating shaft furnace based on counter flow principle. On top, coke and burden (sinter, pellets, lump ore ) are charged in different layers.

The grain size distribution of those layers has a large influence on the permeability of the charge and hence on the gas flow distribution.

It is therefore a major parameter for the Blast furnace process. This grain size distribution as well as the behaviour of the charging stream (falling curve, mass flow ) can be simulated using a method called Discrete Element Method (DEM).

Since more than 8 years, Paul Wurth is successfully performing particle simulation using a commercial DEM software (EDEM).

Those DEM simulations are currently done in order to solve problems such as

  • evaluation of falling curves;
  • treatment of segregation issues;
  • determination of a hopper emptying time
  • determination of a mass flow
  • However, those simulations still face two recurrent problems :

  • the calculation time is very long (ranging between 2 hours and more than 1 week)
  • the amount of data stored is very large (for every timestep, almost all the data for each particle, such as positon, velocity etc. have to be stored).
  • When Paul Wurth started to perform DEM simulations, the most currently used materials have been calibrated. The target of this first calibration was to define the material parameters (grain size distribution, friction factors, shape of particle ) in order to reproduce standard tests.

    This adaptation of parameters has not been optimised to reduce calculation time but the focus was set on realistic results.

    Nowadays, optimisation software have been developed which can deal with numerous parameters and make the calibration process more efficient.

    Responsibilities :

    Redo the calibration of the particles using the optimization tool (Optislang) in order to reduce calculation time and if possible the amount of data without losing the accuracy of the results.

    Different steps of the internship program :

    1. Introduction to the Discrete Element Method

    2. Introduction to the optimisation software (Optislang)

    3. Define the material parameters that have to be varied

    4. Find a parameter set that will allow to have the same results but with less calculation time.

    We Offer :

    If you are a team player who is able to work in a professional and independent manner, if you can quickly integrate yourself in a dynamic multinational team, this could be the place for you!

    Must Have :

  • Master student in mechanical engineering
  • Fluent in English, and either French or German
  • Basic knowledge in a 3D solid modelling software
  • High degree of initiative and responsibility and willingness to fully invest yourself in the assigned projects.
  • Nice To Have :

    Language skills in Luxembourgish are considered as an asset.

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