Please use this identifier to cite or link to this item:
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Multiphysics Eulerian-Lagrangian electrostatic particle spray- and deposition model for OpenFOAM® and KaleidoSim® cloud-platform
Authors : Boiger, Gernot Kurt
Lienhard, Viktor
Boldrini, Marlon
Siyahhan, Bercan
Khawaja, Hassan
Moatamedi, Mojtaba
et. al : No
DOI : 10.21152/1750-9548.14.1.1
Published in : The International Journal of Multiphysics
Volume(Issue) : 14
Issue : 1
Pages : 1
Pages to: 15
Issue Date: 15-Jan-2020
Publisher / Ed. Institution : International Society of Multiphysics
ISSN: 1750-9548
Language : English
Subjects : Simulation; OpenFoam®; Particle laden flow; Electro-static; Multiphysics; CFD; Euler-Lagrange; Coating
Subject (DDC) : 530: Physics
Abstract: A finite volume based Eulerian-Lagrangian model has been created within OpenFOAM® in order to predict the behavior of particle clouds as well as particle deposition thicknesses on substrates under the influence of electro-static effects. The model resolves close to electrode effects as well as phenomena within the entire coating chamber. It considers fluid dynamic effects, particle inertia, gravity, electric- as well as mechanic particle-particle interaction, corona formation, dynamic particle charging mechanisms, and coupling of particle motion to Reynolds-Averaged Navier-Stokes (RANS) based flow simulations. Resulting coating pattern predictions were experimentally validated. It is demonstrated qualitatively and quantitatively that the measured coating thicknesses and patterns vary by; i) applied voltage, ii) airflow rate, pistol-substrate iii) -distance and iv) –angle. Furthermore, the software has been prepared such that it works on the cloud computing software KaleidoSim®, which enables the simultaneous browser-based running of hundreds of cases for large parameter studies.
Fulltext version : Published version
License (according to publishing contract) : CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Appears in Collections:Publikationen School of Engineering

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.