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

Bretl, Colin; Trunk, Robin; Nirschl, Hermann; Thäter, Gudrun; Dorn, Márcio; Krause, Mathias J.

doi:10.1007/978-3-030-80602-6_16

Cited by 1 publication

(1 citation statement)

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“…This reduces the density difference, resulting in an overlapping of the settling velocity distributions of the aluminium and copper particles. Consequently, the inflow surface and, thus, the size and shape of the particles [38] become more relevant for the separation in the ZZAC. The larger resistances of the planar lighter material of the prismatic cells dominate the separation, and a better separation efficiency is achieved.…”

Section: Modellingmentioning

confidence: 99%

Modelling the Sorting of Lithium-Ion Battery Components in a Zig-Zag Air Classifier

Kaas,

Wilke,

Rabaschus

et al. 2024

Metals

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The recycling of lithium-ion batteries, in particular, has become increasingly important in recent years. Due to the materials contained, such as copper or nickel, the return to the economic cycle is important. To ensure this, binding measures have been introduced by the European Commission. As part of the mechanical recycling of lithium-ion batteries, the zig-zag air classifier is used to separate battery components. One application is the separation of the current conductor foils from each other, which is investigated and modelled here. Existing models deriving from the literature are evaluated for material fractions coming from the recycling of different automotive lithium-ion batteries. Since the separation depends on the geometry of the foil particles, similarities for separation depending on the geometric characteristics of the electrodes are derived. It turns out that the material is too complex for the empirical model. However, the model can be used to evaluate the suitability of the apparatus and the quality of the separation.

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Section: Modellingmentioning

confidence: 99%