Publication type: Book part
Type of review: Editorial review
Title: Methodology : large (non)spherical particle modeling in the context of fluid filtration applications
Authors : Boiger, Gernot Kurt
et. al : No
DOI : 10.1016/B978-0-12-818345-8.00006-8
Published in : Multiphysics Modelling of Fluid-Particulate Systems
Editors of the parent work: Khawaja, Hassan
Moatamedi, Mojtaba
Pages : 115
Pages to: 248
Issue Date: 2020
Series : Multiphysics: Advances and Applications
Publisher / Ed. Institution : Elsevier
ISBN: 978-0-12-818345-8
Language : English
Subjects : Simulation; CFD; OpenFoam; Non-spherical particle; Filtration; Particle laden flow
Subject (DDC) : 530: Physics
Abstract: Chapter 6 describes the applied methodology, where sub-chapter 6.1 presents some fundamentals behind the work. Initially the prevailing physical conditions as well as resulting model simplifications are discussed. In a next step a fluid structure interaction (FSI) tool and a digital fibre reconstruction (DFR) utility are laid out in short. Furthermore sub-chapter 6.1 presents three important reasons as to why the consideration of particle shape effects in filtration simulation is imperative: • The particle-inertia-to-fluid force ratio, represented by the particle relaxation time, is strongly shape dependent. • Particles with small, angular particle relaxation times experience the non-spherical particle slip effect. • Particles with large, angular particle relaxation times experience the non-spherical particle bulk effect. Three basic concepts, which form the roots of the presented particle model, are discussed in sub-chapter 6.2: the Lagrangian simulation approach, the force-to-motion concept and the large particle model. Sub-chapter 6.3 is the core part of this book-chapter and is about the intrinsics of the (non-) spherical dirt particle and deposition solvers. Basic, non-spherical modelling concepts, as well as force-interaction implementations and drag-to-lift force calculation schemes are discussed. Benchmark examples of solver functionality are given as well. The decisive problem of numerical instability due to Explicit Euler temporal particle movement discretization is addressed and amended in sub-chapter 6.4. A possible solution, based on the development of an adaptive time stepping scheme is given. Sub-chapter 6.5 provides insight into the workflow behind the code and into the C++ software design pattern of the relevant particle solver classes as well as into their embedding within the OpenFOAM® program structure. A complete description of all particle-solver specific, user-definable input parameters, is given too.
URI: https://books.google.ch/books?id=xazWDwAAQBAJ&pg=PA115&lpg=PA115&dq=10.1016/B978-0-12-818345-8.00006-8&source=bl&ots=aozVEjox5M&sig=ACfU3U274MJJWxAvqI85tYYDUxOJRtbImg&hl=de&sa=X&ved=2ahUKEwiTtZ_M4abrAhUKThUIHam1AAoQ6AEwAHoECAEQAQ#v=onepage&q=10.1016%2FB978-0-12-818345-8.00006-8&f=false
https://digitalcollection.zhaw.ch/handle/11475/20378
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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