Blar i SINTEF Open på forfatter "Pirker, Stefan"

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    • A Lagrangian‐Eulerian hybrid model for the simulation of direct reduction of iron ore in fluidized beds 

      Schneiderbauer, Simon; Kinaci, Mustafa E.; Hauzenberger, Franz; Pirker, Stefan (SINTEF Proceedings;2, Chapter, 2017)
      Fluidized bed and moving bed reactors are one of the most important technologies in several branches of process industry. Especially, it is known since decades that iron can be reduced rapidly and efficiently from iron ...

    • Adaptive coarse‐graining for large‐scale DEM simulations 

      Queteschiner, Daniel; Lichtenegger, Thomas; Schneiderbaer, Simon; Pirker, Stefan (SINTEF Proceedings;2, Chapter; Conference object; Peer reviewed, 2017)
      The large time and length scales and, not least, the vast number of particles involved in industrial-scale simulations inflate the computational costs of the Discrete Element Method (DEM) excessively. Coarse grain models ...

    • CFD‐DEM modelling of blast furnace tapping 

      Vango, Mathias; Pirker, Stefan; Lichtenegger, Thomas (SINTEF Proceedings;2, Chapter; Conference object; Peer reviewed, 2017)
      The campaign length of a blast furnace is limited by the hearth inner lining lifetime. In order to maximize the campaign length and ensure a good draining of hot metal and slag, a good understanding of the flow in the ...

    • LES‐VOF simulation of turbulent interfacial flow in the continuous casting mold 

      Saeedipour, Mahdi; Puttinger, Stefan; Pirker, Stefan (SINTEF Proceedings;2, Chapter; Conference object; Peer reviewed, 2017)
      Slag entrainment during continuous casting process is a multiscale problem strongly dependent on the molten metal flow in the mold. Large-scale flow structures in the mold interact with the slag layer at the top of the ...

    • State of the art in mapping schemes for dilute and dense Euler-Lagrange simulations 

      Radl, Stefan; Gonzales, Begona C.; Goniva, Christoph; Pirker, Stefan (SINTEF Proceedings;1, Chapter; Conference object; Peer reviewed, 2015)
      Euler-Lagrange (EL) simulations are an extremely important tool for academia and industry to better understand gas-particle flows. We present simulation results for various gas-particle flow configurations using a variety ...