Publication type: Book part
Type of review: Editorial review
Title: Introduction : large, (non-)spherical particle modeling in the context of fluid filtration applications
Authors: Boiger, Gernot Kurt
et. al: No
DOI: 10.1016/B978-0-12-818345-8.00005-6
Published in: Multiphysics Modelling of Fluid-Particulate Systems
Editors of the parent work: Khawaja, Hassan
Moatamedi, Mojtaba
Pages: 109
Pages to: 113
Issue Date: 2020
Series: Multiphysics: Advances and Applications
Publisher / Ed. Institution: Elsevier
ISBN: 978-0-12-818345-8
Language: English
Subjects: Simulation; CFD; Non-spherical particle; Filtration
Subject (DDC): 530: Physics
Abstract: The task of thoroughly understanding fluid flows laden with solid particles poses a special problem within the field of investigating multiphase flows. Whenever highly detailed information concerning individual particle behavior is required, such settings are usually viewed in the light of a Eulerian-LaGrangian perspective. Demonstrating an example for a method used to describe LaGrangian particle motion within a Eulerian fluid in an exceptionally high level of detail, this chapter introduces a Six Degrees of Freedom (DOF), large LaGrangian particle model for (non-) spherical dirt particle motion and deposition within highly viscous fluids and solid fibre structures. The whole demonstration is based on the application example of dirt particle filtration processes in oil lubrication circuits of the automotive industry. In order to properly model this specific set-up a coupling between fluid, particles and solid fibre structures is required. Particles need to interact with the fibre structure, among each other and with the fluid such that larger accumulations of particles can actually form a realistic filter cake increasing the filter's pressure drop as well as its filtration efficiency. Moreover the non-spherical nature of real-life dirt particles is an issue. Thus the simulated particles are ellipsoids featuring pressure-/velocity probes across their respective surfaces, which also serve to detect particle-fibre as well as particle-particle impacts.
URI: https://books.google.ch/books?id=oI3WDwAAQBAJ&pg=PA109&lpg=PA109&dq=10.1016/B978-0-12-818345-8.00005-6&source=bl&ots=B7-Y5Fkb21&sig=ACfU3U3tuEHSlHMwLAQLwrWNx8u_3QgUQQ&hl=en&sa=X&ved=2ahUKEwiimMHL96TrAhVEi8MKHVklDDkQ6AEwAXoECAEQAQ#v=onepage&q=10.1016%2FB978-0-12-818345-8.00005-6&f=false
https://digitalcollection.zhaw.ch/handle/11475/20377
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Appears in collections:Publikationen School of Engineering

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