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Preliminary Study of Particle Settling Behaviour by Shape Parameters via Lattice Boltzmann Simulations

In: High Performance Computing in Science and Engineering '20

Author

Listed:
  • Colin Bretl

    (Karlsruhe Institute of Technology, Lattice Boltzmann Research Group)

  • Robin Trunk

    (Karlsruhe Institute of Technology, Lattice Boltzmann Research Group)

  • Hermann Nirschl

    (Institute for Mechanical Process Engineering and Mechanics)

  • Gudrun Thäter

    (Institute for Applied and Numerical Mathematics)

  • Marcio Dorn

    (Federal University of Rio Grande do Sul, Institute of Informatics)

  • Mathias J. Krause

    (Karlsruhe Institute of Technology, Lattice Boltzmann Research Group)

Abstract

The settling behaviour of 50 generated particle shapes with varying complexity is investigated. The shapes are constructed by randomising parameters of a formula describing solid shapes symmetrical to the axis planes. The simulations are performed with a homogenized lattice Boltzmann method within the framework of the open-source lattice Boltzmann package OpenLB, which proved to be capable of handling arbitrary particle shapes. The setup considers particles in a size range of 100 nm up to $$10\,\upmu $$ 10 μ m, for which an efficient separation process can be challenging. Therefore, the case of ultra-centrifugation is considered with 80, 000 times the force of gravity. Although in this setup mass should be the predominant parameter to describe the average settling velocity, an influence of the shape is clearly visible in the results. In particular, the rotational behaviour of the particles is observed showing notable differences in the time it takes for a particle to orient itself towards a stable angle and in the fluctuations around this angle even for similar Reynolds numbers.

Suggested Citation

  • Colin Bretl & Robin Trunk & Hermann Nirschl & Gudrun Thäter & Marcio Dorn & Mathias J. Krause, 2021. "Preliminary Study of Particle Settling Behaviour by Shape Parameters via Lattice Boltzmann Simulations," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '20, pages 245-259, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-80602-6_16
    DOI: 10.1007/978-3-030-80602-6_16
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