Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-27864
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Multiphysics simulation of particle-surface interaction and its effect on powder patterns and process optimization
Authors: Siyahhan, Bercan
Boiger, Gernot Kurt
Fallah, Arash Soleiman
Khawaja, Hassan
Moatamedi, Moji
et. al: No
DOI: 10.21152/1750-9548.17.1.77
10.21256/zhaw-27864
Published in: The International Journal of Multiphysics
Volume(Issue): 17
Issue: 1
Page(s): 77
Pages to: 90
Issue Date: 29-Mar-2023
Publisher / Ed. Institution: International Society of Multiphysics
ISSN: 1750-9548
2048-3961
Language: English
Subject (DDC): 005: Computer programming, programs and data
660: Chemical engineering
Abstract: In industrial processes, powder coating is widely utilized to attain functional or aesthetic surface properties on manufactured parts. A Eulerian-Lagrangian Multiphysics solver has been developed within the OpenFOAM framework in order to simulate and optimize such processes with regards to coating efficiency and homogeneity. In the scope of this study, the powder particle-substrate and particle-particle interactions that occur on the surface of a substrate during the coating process are investigated. This is instigated by the observation that some particles glide over the substrate, rather than sticking to the substrate upon first contact. The phenomenon is governed by the balance of pressure, fluid shear stress traction, electrostatic particle-particle repulsion and gravity forces on the substrate. On the basis of experimental data previously gathered, it is demonstrated that the surface interactions are essential to predicting the coating outcome accurately enough, such as to serve as basis for later process-optimization steps. Furthermore, a dimensional analysis illustrates the weight of the individual force contributions on the overall force balance.
URI: https://digitalcollection.zhaw.ch/handle/11475/27864
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

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Siyahhan, B., Boiger, G. K., Fallah, A. S., Khawaja, H., & Moatamedi, M. (2023). Multiphysics simulation of particle-surface interaction and its effect on powder patterns and process optimization. The International Journal of Multiphysics, 17(1), 77–90. https://doi.org/10.21152/1750-9548.17.1.77
Siyahhan, B. et al. (2023) ‘Multiphysics simulation of particle-surface interaction and its effect on powder patterns and process optimization’, The International Journal of Multiphysics, 17(1), pp. 77–90. Available at: https://doi.org/10.21152/1750-9548.17.1.77.
B. Siyahhan, G. K. Boiger, A. S. Fallah, H. Khawaja, and M. Moatamedi, “Multiphysics simulation of particle-surface interaction and its effect on powder patterns and process optimization,” The International Journal of Multiphysics, vol. 17, no. 1, pp. 77–90, Mar. 2023, doi: 10.21152/1750-9548.17.1.77.
SIYAHHAN, Bercan, Gernot Kurt BOIGER, Arash Soleiman FALLAH, Hassan KHAWAJA und Moji MOATAMEDI, 2023. Multiphysics simulation of particle-surface interaction and its effect on powder patterns and process optimization. The International Journal of Multiphysics. 29 März 2023. Bd. 17, Nr. 1, S. 77–90. DOI 10.21152/1750-9548.17.1.77
Siyahhan, Bercan, Gernot Kurt Boiger, Arash Soleiman Fallah, Hassan Khawaja, and Moji Moatamedi. 2023. “Multiphysics Simulation of Particle-Surface Interaction and Its Effect on Powder Patterns and Process Optimization.” The International Journal of Multiphysics 17 (1): 77–90. https://doi.org/10.21152/1750-9548.17.1.77.
Siyahhan, Bercan, et al. “Multiphysics Simulation of Particle-Surface Interaction and Its Effect on Powder Patterns and Process Optimization.” The International Journal of Multiphysics, vol. 17, no. 1, Mar. 2023, pp. 77–90, https://doi.org/10.21152/1750-9548.17.1.77.


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