Photo of Jan E. Marquardt

M.Sc. Jan E. Marquardt

  • Institute for Mechanical Process Engineering and Mechanics
    Karlsruhe Institute of Technology (KIT)
    Bldg. 30.70
    Straße am Forum 8
    D-76131 Karlsruhe

Curriculum Vitae

10/2013-01/2017 Bachelor study of Chemical and Process Engineering at the Karlsruhe Institute of Technology (KIT)
04/2017-12/2019 Master study of Chemical and Process Engineering at the Karlsruhe Institute of Technology (KIT) with a major in chemical and mechanical process engineering
11/2018-04/2019 Internship at the MANN+HUMMEL GmbH in Ludwigsburg
Since 01/2020 Doctorate at the Lattice Boltzmann Research Group, Karlsruhe Institute of Technology (KIT)

Research Interests

Computational Fluid Dynamics (CFD) using the Lattice Boltzmann Methods (LBM)
Modeling and simulation of particle-laden fluid flows, utilizing:

  • resolved (arbitrary shaped) particles
  • the Eularian approach to particle simulations

Particle-laden fluid flows

  • Potential of damage during transport processes
  • High gradient magnetic separation (HGMS)

Theses (Offered Topics)

Topic Type
Development of a model for coarsely dispersed suspensions Masterthesis

Publications

1. R. Trunk, J. Marquardt, G. Thäter, H. Nirschl, M.J. Krause Towards the Simulation of arbitrarily shaped 3D particles using a homogenised lattice Boltzmann method Computers & Fluids, 2018
2. M.J. Krause, A. Kummerländer, S.J. Avis, H. Kusumaatmaja, D. Dapelo, F. Klemens, M. Gaedtke, N. Hafen. A. Mink., R. Trunk, J.E. Marquardt, M.-L. Maier, M. Haussmann, S. Simonis OpenLB—Open source lattice Boltzmann code Computers & Mathematics with Applications, 2020
3. J.E. Marquardt, C.-R. Arlt, R. Trunk, M. Franzreb, M.J. Krause Numerical and experimental examination of the retention of magnetic nanoparticles in magnetic chromatography Computers and Mathematics with Applications, 2021

Presentations

1. J.E. Marquardt, R. Trunk, H. Nirschl, M.J. Krause; Numerische Studie des Segré-Silberberg Effekt mit der Homogenised Lattice Boltzmann Methode (Talk); Jahrestreffen der ProcessNet-Fachgruppen Computational Fluid Dynamics und Mehrphasenströmungen, 09.-10.03.2021, Paderborn, Germany

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