Speaker
Mehdi Baniasadi
(University of Luxembourg)
Description
The blast furnace iron making is the main method to produce liquid iron. A blast furnace
is charged with ore and coke from the top along with a preheated gas introduced to the
furnace through the tuyeres in the lower part. The combustion of coke generates reducing
gas ascending through the blast furnace to reduce iron-bearing materials. The reduced
iron-bearing particles start softening and melting because of the weight of burden above
and the high temperature in the middle of the blast furnace so-called cohesive zone. In this
region, as particles are softened, the void space between particles decreases. As the
temperature increases further, the softened particles start melting and generate two
different liquids: molten iron and slag. Then the generated liquids trickle down to the
lower part of the blast furnace. The softening and melting process forms the impermeable
ferrous layers forcing gas to flow horizontally through the permeable coke windows. This
causes a high-pressure drop. Softening and melting has a big effect on the operation of the
blast furnace and since it is not possible to interrupt the blast furnace to investigate details
of the phenomena occurring inside, the numerical simulation becomes more practical.
In this contribution, the eXtended Discrete Element Method (XDEM) [1,2] as an advanced
numerical tool based on the Eulerian-Lagrangian framework, is used. Within this
platform, the gas and liquid phases are described by computational fluid dynamics (CFD)
and the soft-sphere discrete element approach (DEM) is used for the coke and iron ore
particles. Continuous phases are coupled to the discrete entities through mass,
momentum, and energy exchange. Moreover, the internal temperature distribution of the
particles is described. Therefore, the XDEM is able to model multiphase and multiscale
phenomena as can occur in the cohesive zone. The particle’s deformation, temperature,
melting, and shrinking along with gas and liquids pressure, temperature and velocity
patterns are examined using the XDEM method.
Author
Mehdi Baniasadi
(University of Luxembourg)
Co-authors
Bernhard Peters
(University of Luxembourg)
Maryam Baniasadi
(University of Luxembourg)